Location Sydney (Tempe) Employment type Full Time Permanent co-worker Department Business & Consumer Insights & Analytics Deadline 2026-06-26 Why you will love us From the deep forests in Sweden, we...

About TruelogicAt Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of...

Who We Are:

Same Seats. Better Prices.

Among the fastest growing technology companies, TickPick is reshaping the secondary ticket marketplace, putting money back in the wallets of live event-goers. Since inception, we have saved our customers over $55 million in service fees. Our BestPrice Guarantee backs up our promise to deliver better prices than our competition.

For the last five years, TickPick has been named a Deloitte Technology Fast 500 award winner and has landed on lists of Inc. 5000’s and Crain’s New York Business’ Fast 50.

If you are passionate about concerts, sports, or theater, and want to see your skills and experience have a direct impact on a fast growing company, TickPick is the place for you. We are building a lean, high-output engineering team committed to providing the most innovative, transparent, and cost-effective ticket marketplace in the industry.

Who You Are:

We’re looking for a Data Scientist to help our marketplace business continue to innovate and grow. An ideal candidate will have professional experience building machine learning models that are used to predict business outcomes — such as customer propensity to spend, churn prediction, price forecasting, or other relevant areas — and, just as importantly, experience operationalizing those models so they run reliably in production without becoming a maintenance burden over time.

You should have a curious mind and an interest in how a marketplace business optimizes its growth, with a vision for how to ensure innovation, transparency, and cost-effectiveness at scale. You should also be comfortable partnering with stakeholders across the business — communicating your findings, building buy-in, and seeing your work through to real production impact. If you are looking to join a growing team within a growing company that’s making data a priority, this is the role for you. You’ll have the opportunity to touch many aspects of the business.

Core Responsibilities:

• Support the organization as we experiment with new product features and strategies, helping to forecast and understand the impact of these changes.

• Build, deploy, and maintain machine learning models in production — operationalizing them in a sustainable, maintainable way.

• Collaborate with product, growth, and development teams to identify opportunities to incorporate a data science approach to product / feature development, and to drive experiments and initiatives through to a decision and into production.

• Assist with analysis of large volumes of transactional data to identify opportunities to create efficient, transparent, and low-cost marketplace interactions that drive growth.

• BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science.

• 3+ years of experience with machine learning models including development, version control, and deployment/serving of models.

• Demonstrated experience operationalizing ML models in production — either independently or alongside an engineering team.

• Experience working with platforms such as Snowflake and Databricks.

• Proficient in one or more programming languages, such as Python.

• Experience using AI tools to increase throughput for exploratory data analysis, model development, experimentation, and more.

• Strong planning, communication, and problem-solving skills.

Strongly Desired Attributes:

• A track record of getting stakeholder buy-in and commitment on experiments and initiatives — communicating findings clearly, addressing concerns from the business, and ensuring that the results of your efforts lead to production impact.
• Experience with paid search and/or paid social, and with experimentation that supports growth teams in producing better user acquisition outcomes.
• Experience working with data modeling software and on teams with data modelers.
• Experience using analytical approaches to problem-solving with large volumes of data.

Nice to Have:

• Experience with marketplace businesses and dynamic pricing.

• A demonstrated interest in related areas such as marketplaces, financial markets, or other related areas (hands-on experience a plus).

• A hybrid in-office approach, enabling remote work a portion of each week

• Health Care Plan (Medical, Dental & Vision)

• Retirement Plan Contribution (401k, IRA)

• Life Insurance (Basic, Voluntary & AD&D)

• Paid Time Off (Vacation, Sick & Holidays)

• Family Leave (Maternity, Paternity)

• Training & Development

• $100 Monthly Stipend to Attend Live Events

• Employee Outings

• Free Lunch & Snacks

The estimated pay range for this role, based in New York City, is $105,000 - $135,000. This role will be eligible to participate in our company’s equity program. Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits, and other reward opportunities we provide.

Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.

The range above is for the expectations as laid out in the job description. However, we are often open to a wide variety of profiles and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.

Diversity at TickPick:

At TickPick, we know that diversity of all types, in an environment that pursues equity and inclusion, strengthens our organization’s culture. When our employees are representative of the communities we serve, with diversity in demographics and a broad set of backgrounds, we provide a superior experience for both our customers and our employees. Fostering an open and supportive environment where our employees are empowered and encouraged to bring their whole selves to the table enables TickPick to thrive. The diverse approaches and collaborative problem-solving that result enable us to provide an innovative, nimble, and creative marketplace for our customers and sellers. This belief is central to who we are and what we do, and we are proud of it.

TickPick, LLC is proud to be an equal opportunity employer open to all qualified candidates regardless of race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, marital status, citizenship status, military status, protected veteran status, or any other category protected by law.

Who We Are:

Same Seats. Better Prices.

Among the fastest growing technology companies, TickPick is reshaping the secondary ticket marketplace, putting money back in the wallets of live event-goers. Since inception, we have saved our customers over $55 million in service fees. Our BestPrice Guarantee backs up our promise to deliver better prices than our competition.

For the last five years, TickPick has been named a Deloitte Technology Fast 500 award winner and has landed on lists of Inc. 5000’s and Crain’s New York Business’ Fast 50.

If you are passionate about concerts, sports, or theater, and want to see your skills and experience have a direct impact on a fast growing company, TickPick is the place for you. We are building a lean, high-output engineering team committed to providing the most innovative, transparent, and cost-effective ticket marketplace in the industry.

Who You Are:

We’re looking for a Data Scientist to help our marketplace business continue to innovate and grow. An ideal candidate will have professional experience building machine learning models that are used to predict business outcomes — such as customer propensity to spend, churn prediction, price forecasting, or other relevant areas — and, just as importantly, experience operationalizing those models so they run reliably in production without becoming a maintenance burden over time.

You should have a curious mind and an interest in how a marketplace business optimizes its growth, with a vision for how to ensure innovation, transparency, and cost-effectiveness at scale. You should also be comfortable partnering with stakeholders across the business — communicating your findings, building buy-in, and seeing your work through to real production impact. If you are looking to join a growing team within a growing company that’s making data a priority, this is the role for you. You’ll have the opportunity to touch many aspects of the business.

Core Responsibilities:

• Support the organization as we experiment with new product features and strategies, helping to forecast and understand the impact of these changes.

• Build, deploy, and maintain machine learning models in production — operationalizing them in a sustainable, maintainable way.

• Collaborate with product, growth, and development teams to identify opportunities to incorporate a data science approach to product / feature development, and to drive experiments and initiatives through to a decision and into production.

• Assist with analysis of large volumes of transactional data to identify opportunities to create efficient, transparent, and low-cost marketplace interactions that drive growth.

• BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science.

• 3+ years of experience with machine learning models including development, version control, and deployment/serving of models.

• Demonstrated experience operationalizing ML models in production — either independently or alongside an engineering team.

• Experience working with platforms such as Snowflake and Databricks.

• Proficient in one or more programming languages, such as Python.

• Experience using AI tools to increase throughput for exploratory data analysis, model development, experimentation, and more.

• Strong planning, communication, and problem-solving skills.

Strongly Desired Attributes:

• A track record of getting stakeholder buy-in and commitment on experiments and initiatives — communicating findings clearly, addressing concerns from the business, and ensuring that the results of your efforts lead to production impact.
• Experience with paid search and/or paid social, and with experimentation that supports growth teams in producing better user acquisition outcomes.
• Experience working with data modeling software and on teams with data modelers.
• Experience using analytical approaches to problem-solving with large volumes of data.

Nice to Have:

• Experience with marketplace businesses and dynamic pricing.

• A demonstrated interest in related areas such as marketplaces, financial markets, or other related areas (hands-on experience a plus).

• A hybrid in-office approach, enabling remote work a portion of each week

• Health Care Plan (Medical, Dental & Vision)

• Retirement Plan Contribution (401k, IRA)

• Life Insurance (Basic, Voluntary & AD&D)

• Paid Time Off (Vacation, Sick & Holidays)

• Family Leave (Maternity, Paternity)

• Training & Development

• $100 Monthly Stipend to Attend Live Events

• Employee Outings

• Free Lunch & Snacks

The estimated pay range for this role, based in New York City, is $105,000 - $135,000. This role will be eligible to participate in our company’s equity program. Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits, and other reward opportunities we provide.

Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.

The range above is for the expectations as laid out in the job description. However, we are often open to a wide variety of profiles and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.

Diversity at TickPick:

At TickPick, we know that diversity of all types, in an environment that pursues equity and inclusion, strengthens our organization’s culture. When our employees are representative of the communities we serve, with diversity in demographics and a broad set of backgrounds, we provide a superior experience for both our customers and our employees. Fostering an open and supportive environment where our employees are empowered and encouraged to bring their whole selves to the table enables TickPick to thrive. The diverse approaches and collaborative problem-solving that result enable us to provide an innovative, nimble, and creative marketplace for our customers and sellers. This belief is central to who we are and what we do, and we are proud of it.

TickPick, LLC is proud to be an equal opportunity employer open to all qualified candidates regardless of race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, marital status, citizenship status, military status, protected veteran status, or any other category protected by law.

Headquarters: Mexico
URL: http://sonova.com

Business Analyst & CRM (Salesforce)

Mexico City, México – REMOTE AVAILABLE FOR THE RIGHT CANDIDATE

 

**Must speak and understand English for this position

 

The Business Analyst & CRM (Salesforce) plays a critical role in driving the execution of Sonova Mexico’s pricing strategy while ensuring full visibility of commercial performance through robust KPI tracking and analytics. This role serves as the functional owner of Salesforce, supporting data integrity, system optimization, and enabling data-driven decision-making across the commercial organization.

 

This position is essential to strengthening operational excellence, improving profitability, and supporting sustainable market share growth.

 

 

Responsibilities:

• Monitor and analyze performance of customer-tier pricing strategies across segments

• Analyze sales volumes, pricing, margins, discount behavior, and customer trends

• Produce recurring and ad-hoc executive reports for leadership

• Identify risks, deviations, and opportunities to improve profitability and competitiveness

• Support automation of pricing rules in SAP and Salesforce

• Act as the internal Product Owner for Salesforce

• Ensure data quality, system usage, and continuous CRM optimization

• Build dashboards, reports, and workflows to support Sales and Management teams

• Lead user training, adoption initiatives, and system enhancements

• Track KPIs including customer volume, discount levels, contract compliance, and financial performance

• Prepare monthly and quarterly performance summaries and insights

• Partner with Sales teams to support pricing strategy execution and customer negotiations

• Collaborate cross-functionally with Marketing, Finance, Operations, and IT teams

 

 

More about you:

• Bachelor’s degree in Business Administration, Industrial Engineering, Economics, Finance, Information Systems, or related field

• Strong Salesforce experience including dashboards, reporting, and automation

• Advanced Excel skills; Power BI or similar tools preferred

• Strong understanding of commercial processes and pricing strategies

• Ability to analyze large datasets and translate insights into actionable recommendations

• Advanced English proficiency

• Strong analytical thinking, attention to detail, and problem-solving skills

• Excellent communication and ability to influence cross-functional teams

 

 

A minimum of 200Mb/sec download and 10Mb/sec upload speed internet connectivity is required to support any remote/hybrid employee functionality at Sonova

Don't meet all the criteria? If you’re willing to go all in and learn we'd love to hear from you!

 

What we offer:

• Benefits in accordance with the Federal Labor Law (LFT)
• Savings fund (Fondo de Ahorro)

 

 

How we work:

At Sonova, we prioritize the well-being of our employees and foster an inclusive environment that promotes engagement and collaboration. Our team-customized hybrid work model empowers teams to balance individual needs with business goals, offering flexibility and individualized time management. We recognize the importance of life outside of work and strive to create a supportive and motivating workplace where innovation thrives.

 

To apply: https://weworkremotely.com/remote-jobs/sonova-international-business-crm-analyst-remote

WHAT IS BOX?

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

Product Analytics at Box plays a key part in building increased understanding of our products, our customers, and our business so that we can help our teammates make better data-driven decisions. We work cross-functionally to develop and share insights, combining qualitative understanding and quantitative analysis. As a member of the team, you’ll have an opportunity to work with high-caliber individuals to drive strategic and operational improvements at our company.

As the Product Analyst, you will be responsible for delivering data and insights that drive decision making for our business and product initiatives. You will need to be able to translate strong insights about user behavior and analysis techniques into actionable work for the team.   The ideal candidate will bring a depth of functional experience with a proven track record driving meaningful product wins through insights & influence.

WHAT YOU’LL DO

• You will use analytics to answer questions about how our customers are using our product, with the goal of improving product adoption and customer retention.

• You will guide the Product Leadership Team on setting company-wide goals that inform and support our long-term product strategy

• You will own the roadmap and data integrity of our products reporting, identifying opportunities to build new dashboards and self-serve resources with the end goal of increasing data consumption and efficiency.

• You will work cross-functionally with product managers, data engineers, and product engineers to ensure we’re delivering quality insights to the business.

WHO YOU ARE

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

• You’re a “data ninja”. You enjoy digging into the details of data models to answer questions, and you enjoy finding ways to enable people to access data to drive decisions.

• Your analytics skills are strong, including 1 + years of experience in an analytics role. You have significant experience with SQL and data visualization tools (Tableau, Qlik, Power BI, Looker, Domo, etc.)

• You’ve proven yourself as a trusted business partner. You’ve got excellent communication skills and can translate between technical and functional requirements.  You have experience working with business stakeholders to clarify questions and prioritize asks.

• You’ve got a strong education. You have a Bachelor’s in an analytical field (statistics, computer science, etc.)

BENEFITS

Check out the overview of Life at Box which include general perks and benefits.

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

For details on how we protect your information when you apply, please see our Personnel Privacy Notice.

For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice.

#LI-KS2

#LI-Hybrid

WHAT IS BOX?

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

Product Analytics at Box plays a key part in building increased understanding of our products, our customers, and our business so that we can help our teammates make better data-driven decisions. We work cross-functionally to develop and share insights, combining qualitative understanding and quantitative analysis. As a member of the team, you’ll have an opportunity to work with high-caliber individuals to drive strategic and operational improvements at our company.

As the Product Analyst, you will be responsible for delivering data and insights that drive decision making for our business and product initiatives. You will need to be able to translate strong insights about user behavior and analysis techniques into actionable work for the team.   The ideal candidate will bring a depth of functional experience with a proven track record driving meaningful product wins through insights & influence.

WHAT YOU’LL DO

• You will use analytics to answer questions about how our customers are using our product, with the goal of improving product adoption and customer retention.

• You will guide the Product Leadership Team on setting company-wide goals that inform and support our long-term product strategy

• You will own the roadmap and data integrity of our products reporting, identifying opportunities to build new dashboards and self-serve resources with the end goal of increasing data consumption and efficiency.

• You will work cross-functionally with product managers, data engineers, and product engineers to ensure we’re delivering quality insights to the business.

WHO YOU ARE

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

• You’re a “data ninja”. You enjoy digging into the details of data models to answer questions, and you enjoy finding ways to enable people to access data to drive decisions.

• Your analytics skills are strong, including 1 + years of experience in an analytics role. You have significant experience with SQL and data visualization tools (Tableau, Qlik, Power BI, Looker, Domo, etc.)

• You’ve proven yourself as a trusted business partner. You’ve got excellent communication skills and can translate between technical and functional requirements.  You have experience working with business stakeholders to clarify questions and prioritize asks.

• You’ve got a strong education. You have a Bachelor’s in an analytical field (statistics, computer science, etc.)

BENEFITS

Check out the overview of Life at Box which include general perks and benefits.

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

For details on how we protect your information when you apply, please see our Personnel Privacy Notice.

For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice.

#LI-KS2

#LI-Hybrid

DescriptionAbout AllCloudAllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed...

Ollie was born with the mission of improving the lives of pets and pet parents nationwide. We make human-grade pet food, tailored for each dog’s nutritional needs, and deliver directly to our customers’ doors. Through Ollie’s carefully crafted meals and health services for members, dogs can truly live their healthiest, happiest lives.

As a member of our growing team, you’ll take part in a company culture that cares deeply about its work and its team members.

Ollie is looking for a Data Analyst to join the cross functional team responsible for building subscription retention and member loyalty. This role is ideal for someone who is highly analytical, curious about customer behavior, comfortable working with imperfect business questions, and excited to translate data into decisions. This highly collaborative, hands-on, and technical analyst will leverage their passion for data-driven experiences and expertise in testing strategy to lead analysis across Ollie’s lifecycle comms, mobile apps, and new member services.

This is a remote role open to candidates based on the U.S. East Coast and will report to the Senior Data Analyst, Experimentation & Growth.

What You'll Do:

• Drive a data-driven approach to optimizing the Ollie member experience alongside peers from product, marketing, CX, & research through:
• Exploratory analytical projects that identify actionable learnings & create high-value hypotheses
• Hypothesis & initiative valuation to inform prioritization
• Thoughtful test design & measurement for new experiences & features that makes sure we are constantly learning
  
• Support the cross-functional team as the go-to data resource through ad hoc analysis, thought leadership on metric definition, sharing/presenting analyses, identifying & communicating data/tech needs, and contributing new ideas
• Help build and maintain analytical excellence at Ollie by contributing ideas to enhance processes and being a key voice for how using data can innovate the member experience
  
  
  

Who You Are:

• You have 2+ years of experience in data analytics, business intelligence, growth analytics, lifecycle analytics, retention analytics, or a related, preferably in subscription retention for a high-growth consumer business
• You believe in Ollie’s mission, empathize deeply with the needs of dogs and dog parents, and find yourself relentlessly curious about user problems
• You balance technical skills (SQL, Excel), applied statistics (test design & measurement, multivariate analysis, modeling), and subscription-based metrics (retention/churn, LTV) to effectively analyze data & answer questions
• You are comfortable sourcing & joining information from various places - web & analytics platforms directly, curated reporting tools, production databases (Segment, GA, MixPanel, Looker, Snowflake)
• You are skilled in breaking complex analytical problems or questions into manageable components that can be prioritized, tracked, & completed efficiently
• You love transforming technical analysis into something clear, actionable, & interesting and thrive when communicating insights to team members in both written & verbal formats
• Strong grasp of retention, churn, reactivation, cohort analysis, lifecycle performance, and customer behavior in a subscription or recurring-revenue business
  
  
  

What You'll Get:

• Competitive salary
• Sponsored 401k program with employer match up to 4%
• Comprehensive health coverage including medical, dental and vision
• Unlimited vacation policy that you're encouraged to use
• Paid parental leave
• 1-week paw-ternity leave for new dog parents
• Free Ollie subscription
• Inspiring pack members!
  
  
  

What We Value:

Keeping Dogs At The Heart

Our profound love for dogs unites us and drives and inspires every aspect of our business. We wholeheartedly believe dogs make us better in life and at work.

Being Courageous And Kind

We create a safe, inclusive space for everyone to show up as their authentic selves. We check our egos at the door and speak our minds. We embrace diverse backgrounds and perspectives as they bring new and different ideas and ways of working together.

Setting New Standards

We believe in continually raising the bar, never settling for less than our best as a team and individuals. We keep improving from the quality of our products to our customer experience to how we work.

Making Ollie The Best Chapter

We are building an impactful business while making memorable experiences with one another. We celebrate our successes, learn from our failures, and enjoy our collective journey. Our time at Ollie should be a milestone in our careers.

If you'd like to stand out, tell us in your cover letter why you're interested in joining Ollie and how your skills match the responsibilities detailed in this posting.

Ollie embraces diversity and equal opportunity. We're committed to building a team that represents a variety of backgrounds, perspectives, and skills. Ollie is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please include that in your application.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Ollie was born with the mission of improving the lives of pets and pet parents nationwide. We make human-grade pet food, tailored for each dog’s nutritional needs, and deliver directly to our customers’ doors. Through Ollie’s carefully crafted meals and health services for members, dogs can truly live their healthiest, happiest lives.

As a member of our growing team, you’ll take part in a company culture that cares deeply about its work and its team members.

Ollie is looking for a Data Analyst to join the cross functional team responsible for building subscription retention and member loyalty. This role is ideal for someone who is highly analytical, curious about customer behavior, comfortable working with imperfect business questions, and excited to translate data into decisions. This highly collaborative, hands-on, and technical analyst will leverage their passion for data-driven experiences and expertise in testing strategy to lead analysis across Ollie’s lifecycle comms, mobile apps, and new member services.

This is a remote role open to candidates based on the U.S. East Coast and will report to the Senior Data Analyst, Experimentation & Growth.

What You'll Do:

• Drive a data-driven approach to optimizing the Ollie member experience alongside peers from product, marketing, CX, & research through:
• Exploratory analytical projects that identify actionable learnings & create high-value hypotheses
• Hypothesis & initiative valuation to inform prioritization
• Thoughtful test design & measurement for new experiences & features that makes sure we are constantly learning
  
• Support the cross-functional team as the go-to data resource through ad hoc analysis, thought leadership on metric definition, sharing/presenting analyses, identifying & communicating data/tech needs, and contributing new ideas
• Help build and maintain analytical excellence at Ollie by contributing ideas to enhance processes and being a key voice for how using data can innovate the member experience
  
  
  

Who You Are:

• You have 2+ years of experience in data analytics, business intelligence, growth analytics, lifecycle analytics, retention analytics, or a related, preferably in subscription retention for a high-growth consumer business
• You believe in Ollie’s mission, empathize deeply with the needs of dogs and dog parents, and find yourself relentlessly curious about user problems
• You balance technical skills (SQL, Excel), applied statistics (test design & measurement, multivariate analysis, modeling), and subscription-based metrics (retention/churn, LTV) to effectively analyze data & answer questions
• You are comfortable sourcing & joining information from various places - web & analytics platforms directly, curated reporting tools, production databases (Segment, GA, MixPanel, Looker, Snowflake)
• You are skilled in breaking complex analytical problems or questions into manageable components that can be prioritized, tracked, & completed efficiently
• You love transforming technical analysis into something clear, actionable, & interesting and thrive when communicating insights to team members in both written & verbal formats
• Strong grasp of retention, churn, reactivation, cohort analysis, lifecycle performance, and customer behavior in a subscription or recurring-revenue business
  
  
  

What You'll Get:

• Competitive salary
• Sponsored 401k program with employer match up to 4%
• Comprehensive health coverage including medical, dental and vision
• Unlimited vacation policy that you're encouraged to use
• Paid parental leave
• 1-week paw-ternity leave for new dog parents
• Free Ollie subscription
• Inspiring pack members!
  
  
  

What We Value:

Keeping Dogs At The Heart

Our profound love for dogs unites us and drives and inspires every aspect of our business. We wholeheartedly believe dogs make us better in life and at work.

Being Courageous And Kind

We create a safe, inclusive space for everyone to show up as their authentic selves. We check our egos at the door and speak our minds. We embrace diverse backgrounds and perspectives as they bring new and different ideas and ways of working together.

Setting New Standards

We believe in continually raising the bar, never settling for less than our best as a team and individuals. We keep improving from the quality of our products to our customer experience to how we work.

Making Ollie The Best Chapter

We are building an impactful business while making memorable experiences with one another. We celebrate our successes, learn from our failures, and enjoy our collective journey. Our time at Ollie should be a milestone in our careers.

If you'd like to stand out, tell us in your cover letter why you're interested in joining Ollie and how your skills match the responsibilities detailed in this posting.

Ollie embraces diversity and equal opportunity. We're committed to building a team that represents a variety of backgrounds, perspectives, and skills. Ollie is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please include that in your application.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Ollie was born with the mission of improving the lives of pets and pet parents nationwide. We make human-grade pet food, tailored for each dog’s nutritional needs, and deliver directly to our customers’ doors. Through Ollie’s carefully crafted meals and health services for members, dogs can truly live their healthiest, happiest lives.

As a member of our growing team, you’ll take part in a company culture that cares deeply about its work and its team members.

Ollie is looking for a Data Analyst to join the cross functional team responsible for building subscription retention and member loyalty. This role is ideal for someone who is highly analytical, curious about customer behavior, comfortable working with imperfect business questions, and excited to translate data into decisions. This highly collaborative, hands-on, and technical analyst will leverage their passion for data-driven experiences and expertise in testing strategy to lead analysis across Ollie’s lifecycle comms, mobile apps, and new member services.

This is a remote role open to candidates based on the U.S. East Coast and will report to the Senior Data Analyst, Experimentation & Growth.

What You'll Do:

• Drive a data-driven approach to optimizing the Ollie member experience alongside peers from product, marketing, CX, & research through:
• Exploratory analytical projects that identify actionable learnings & create high-value hypotheses
• Hypothesis & initiative valuation to inform prioritization
• Thoughtful test design & measurement for new experiences & features that makes sure we are constantly learning
  
• Support the cross-functional team as the go-to data resource through ad hoc analysis, thought leadership on metric definition, sharing/presenting analyses, identifying & communicating data/tech needs, and contributing new ideas
• Help build and maintain analytical excellence at Ollie by contributing ideas to enhance processes and being a key voice for how using data can innovate the member experience
  
  
  

Who You Are:

• You have 2+ years of experience in data analytics, business intelligence, growth analytics, lifecycle analytics, retention analytics, or a related, preferably in subscription retention for a high-growth consumer business
• You believe in Ollie’s mission, empathize deeply with the needs of dogs and dog parents, and find yourself relentlessly curious about user problems
• You balance technical skills (SQL, Excel), applied statistics (test design & measurement, multivariate analysis, modeling), and subscription-based metrics (retention/churn, LTV) to effectively analyze data & answer questions
• You are comfortable sourcing & joining information from various places - web & analytics platforms directly, curated reporting tools, production databases (Segment, GA, MixPanel, Looker, Snowflake)
• You are skilled in breaking complex analytical problems or questions into manageable components that can be prioritized, tracked, & completed efficiently
• You love transforming technical analysis into something clear, actionable, & interesting and thrive when communicating insights to team members in both written & verbal formats
• Strong grasp of retention, churn, reactivation, cohort analysis, lifecycle performance, and customer behavior in a subscription or recurring-revenue business
  
  
  

What You'll Get:

• Competitive salary
• Sponsored 401k program with employer match up to 4%
• Comprehensive health coverage including medical, dental and vision
• Unlimited vacation policy that you're encouraged to use
• Paid parental leave
• 1-week paw-ternity leave for new dog parents
• Free Ollie subscription
• Inspiring pack members!
  
  
  

What We Value:

Keeping Dogs At The Heart

Our profound love for dogs unites us and drives and inspires every aspect of our business. We wholeheartedly believe dogs make us better in life and at work.

Being Courageous And Kind

We create a safe, inclusive space for everyone to show up as their authentic selves. We check our egos at the door and speak our minds. We embrace diverse backgrounds and perspectives as they bring new and different ideas and ways of working together.

Setting New Standards

We believe in continually raising the bar, never settling for less than our best as a team and individuals. We keep improving from the quality of our products to our customer experience to how we work.

Making Ollie The Best Chapter

We are building an impactful business while making memorable experiences with one another. We celebrate our successes, learn from our failures, and enjoy our collective journey. Our time at Ollie should be a milestone in our careers.

If you'd like to stand out, tell us in your cover letter why you're interested in joining Ollie and how your skills match the responsibilities detailed in this posting.

Ollie embraces diversity and equal opportunity. We're committed to building a team that represents a variety of backgrounds, perspectives, and skills. Ollie is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please include that in your application.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Mortgage Operations AnalystLocation: India (Remote) | Hours: EST AHL + Saaf AI Saaf AI is building the AI workforce for the mortgage industry.

About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.

Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Type: Remote, Full-time

Important: Immigration Sponsorship Policy

This position is not eligible for employment visa sponsorship or transfer sponsorship now or in the future.

• Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
• Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
• Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)
  
  

About the role:

We are seeking a talented and experienced Data Analyst responsible for gathering, interpreting, analyzing, and visualizing large and complex datasets to provide insights and support data-driven decision-making (BI, visualization, and Advanced Analytics).

Qualification / Skill Set Requirement:

• Data Collection and modeling: Gathering data from various sources such as databases, spreadsheets, APIs, and other relevant sources to support business requirements
• Data Cleaning and Preprocessing: Reviewing and organizing data to ensure accuracy, consistency, and completeness. This may involve handling missing values, removing outliers, and transforming data into a suitable format for analysis
• Data Analysis: Applying statistical techniques and analytical methods to examine data and identify patterns, trends, relationships and insights that inform business decisions. This will involve using tools like SQL, Python or specialized data analysis software
• Data Visualization : Design, build and maintain visual representations of data through charts, graphs, and dashboards to communicate insights effectively to stakeholders. Data visualization tools like SnowSight, and Power BI
• Reporting: Summarizing and presenting findings from data analysis in a clear and concise manner. This includes creating reports, slide decks, or presentations to communicate insights and recommendations to non-technical stakeholders
• Data Governance, including Quality Assurance: Ensuring the accuracy, consistency, and integrity of data by performing quality checks and validation procedures. This involves identifying and resolving data discrepancies or errors
• Data Mining: Identifying patterns, trends, and correlations in large datasets to extract meaningful information and support business objectives. This may involve using techniques like clustering, classification, regression, or association analysis
• Statistical Analysis: Applying statistical methods and hypothesis testing to draw meaningful conclusions from data and make data-driven recommendations
• Identifying and implementing best practices for data visualization, reporting and analysis
• Collaborating with Teams: Working closely with cross-functional teams, such as business analysts, data engineers, and decision-makers, to understand their requirements, provide analytical support, identify key metrics and contribute to data-driven initiatives to solve business challenges
• Continuous Learning: Staying updated with industry trends, new analytical techniques, and tools to enhance data analysis capabilities and improve efficiency
  
  

Responsibilities:

• Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science
• At least 8 years of experience in data analytics, with a focus on business intelligence and data visualization
• 5+ years of real-world data engineering development experience in Snowflake
• Proficient in the application of DBT
• Proficient in Snowflake services such as SnowSight, Snowpipe, stages, stored procedures, views, materialized views, tasks and streams
• Strong SQL skills and experience working with complex data sets and Enterprise Data Warehouse
• Experience with data modeling and schema design
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights
• Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams, are essential to convey complex technical concepts and insights to non-technical stakeholders effectively
• Demonstrated leadership experience with the ability to mentor and develop junior analysts
• Experience with data governance, data quality, and data integrity efforts
• Attention to Detail: Being meticulous and paying attention to detail is critical in data analysis. Small errors or inaccuracies can lead to misleading results, so data analysts should have a keen eye for detail and double-check their work
• Strong project management skills with the ability to manage multiple projects and priorities simultaneously
• for data integration, storage, processing, and manipulation
  
  

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local.

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BXpUrbjGWn

About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.

Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Type: Remote, Full-time

Important: Immigration Sponsorship Policy

This position is not eligible for employment visa sponsorship or transfer sponsorship now or in the future.

• Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
• Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
• Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)
  
  

About the role:

We are seeking a talented and experienced Data Analyst responsible for gathering, interpreting, analyzing, and visualizing large and complex datasets to provide insights and support data-driven decision-making (BI, visualization, and Advanced Analytics).

Qualification / Skill Set Requirement:

• Data Collection and modeling: Gathering data from various sources such as databases, spreadsheets, APIs, and other relevant sources to support business requirements
• Data Cleaning and Preprocessing: Reviewing and organizing data to ensure accuracy, consistency, and completeness. This may involve handling missing values, removing outliers, and transforming data into a suitable format for analysis
• Data Analysis: Applying statistical techniques and analytical methods to examine data and identify patterns, trends, relationships and insights that inform business decisions. This will involve using tools like SQL, Python or specialized data analysis software
• Data Visualization : Design, build and maintain visual representations of data through charts, graphs, and dashboards to communicate insights effectively to stakeholders. Data visualization tools like SnowSight, and Power BI
• Reporting: Summarizing and presenting findings from data analysis in a clear and concise manner. This includes creating reports, slide decks, or presentations to communicate insights and recommendations to non-technical stakeholders
• Data Governance, including Quality Assurance: Ensuring the accuracy, consistency, and integrity of data by performing quality checks and validation procedures. This involves identifying and resolving data discrepancies or errors
• Data Mining: Identifying patterns, trends, and correlations in large datasets to extract meaningful information and support business objectives. This may involve using techniques like clustering, classification, regression, or association analysis
• Statistical Analysis: Applying statistical methods and hypothesis testing to draw meaningful conclusions from data and make data-driven recommendations
• Identifying and implementing best practices for data visualization, reporting and analysis
• Collaborating with Teams: Working closely with cross-functional teams, such as business analysts, data engineers, and decision-makers, to understand their requirements, provide analytical support, identify key metrics and contribute to data-driven initiatives to solve business challenges
• Continuous Learning: Staying updated with industry trends, new analytical techniques, and tools to enhance data analysis capabilities and improve efficiency
  
  

Responsibilities:

• Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science
• At least 8 years of experience in data analytics, with a focus on business intelligence and data visualization
• 5+ years of real-world data engineering development experience in Snowflake
• Proficient in the application of DBT
• Proficient in Snowflake services such as SnowSight, Snowpipe, stages, stored procedures, views, materialized views, tasks and streams
• Strong SQL skills and experience working with complex data sets and Enterprise Data Warehouse
• Experience with data modeling and schema design
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights
• Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams, are essential to convey complex technical concepts and insights to non-technical stakeholders effectively
• Demonstrated leadership experience with the ability to mentor and develop junior analysts
• Experience with data governance, data quality, and data integrity efforts
• Attention to Detail: Being meticulous and paying attention to detail is critical in data analysis. Small errors or inaccuracies can lead to misleading results, so data analysts should have a keen eye for detail and double-check their work
• Strong project management skills with the ability to manage multiple projects and priorities simultaneously
• for data integration, storage, processing, and manipulation
  
  

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local.

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Business Intelligence (Power BI) Analyst

Client: Government of Alberta (GoA) – Technology and Innovation
Project: Digital Regulatory Assurance System (DRAS)
Location: Remote within Canada (Occasional onsite meetings in Edmonton, AB)
Duration: Long-Term Contract (Approx. 18 Months + Possible 6-Month Extension)
Hours: 36.25 Hours/Week (Monday – Friday, Alberta Time)
Start Date: June 2026

About the Project

The Digital Regulatory Assurance System (DRAS) is a major Government of Alberta initiative led by Environment and Protected Areas (EPA) to modernize, digitize, and streamline environmental and natural resource regulatory processes.

DRAS supports the complete regulatory lifecycle—from application and authorization through compliance monitoring, remediation, and closure—using a single digital platform. As the volume and complexity of data continue to grow, the program requires an experienced Business Intelligence Analyst to provide advanced analytics, reporting, dashboard development, and data-driven insights that support operational and strategic decision-making.

Key Responsibilities

• Design, develop, and maintain advanced dashboards, scorecards, and visual analytics using Microsoft Power BI.
  
• Build and optimize enterprise reporting solutions using Power BI, DAX, and Power Query.
  
• Develop and maintain data models, semantic models, and ETL processes.
  
• Integrate Power BI solutions with Azure-based data platforms and on-premises data sources.
  
• Collaborate with business stakeholders, data architects, and data engineers to understand reporting requirements and KPIs.
  
• Translate business requirements into scalable analytical and reporting solutions.
  
• Conduct data analysis to identify trends, patterns, anomalies, and business opportunities.
  
• Present analytical findings and recommendations to business and executive stakeholders.
  
• Implement and maintain Power BI Service features including scheduled refreshes, alerts, and workspace management.
  
• Configure Row-Level Security (RLS), incremental refresh, and performance optimization strategies.
  
• Ensure data quality, consistency, governance, and security compliance.
  
• Provide end-user support, training, and documentation.
  
• Leverage AI-assisted analytics tools to automate insights generation and enhance reporting capabilities.
  
• Perform other related duties as required.
  

Mandatory Qualifications

Education

• Post-secondary Degree, Diploma, or Certificate in Computer Science, Information Technology, Data Analytics, or a related discipline.
  
  

Experience

• 5+ years of experience translating business requirements into analytical and reporting solutions.
  
• 5+ years of hands-on experience designing, developing, and optimizing advanced Power BI dashboards and reports.
  
• 5+ years of experience with SQL for querying, data transformation, and reporting.
  
• 5+ years of experience analyzing large and complex datasets.
  
• 5+ years of experience developing complex DAX measures, calculated columns, and data models.
  
• 4+ years of experience implementing Power BI Service capabilities including refresh schedules, security, and deployment.
  
• 4+ years of experience designing business intelligence and analytics solutions.
  
• 4+ years of experience using advanced data visualization and storytelling techniques.
  
• Strong experience working with Azure data platforms and enterprise reporting environments.
  

Preferred Qualifications

• Experience with source code control and version management practices.
  
• Experience leveraging AI-assisted analytics tools and technologies.
  
• Experience with Databricks Medallion Architecture.
  
• Experience building data products using Azure Synapse Analytics.
  
• Experience working with Government of Alberta data environments and datasets.
  

Work Arrangement

• Remote work from within Canada is required.
  
• Resource must supply their own computer and equipment.
  
• Windows operating system is preferred for Azure Virtual Desktop (AVD) compatibility.
  
• Occasional onsite meetings may be required in Edmonton, Alberta (approximately 3–4 times annually or as needed).
  
• Travel, accommodation, relocation, and related expenses will not be reimbursed.
  

Security Requirements

• Criminal Record Check may be required prior to project commencement.
  
• Successful candidate must complete mandatory Government of Alberta training, including:
  • Freedom of Information and Protection of Privacy (FOIP)
    
  • Security Awareness Training
    
  • Other required onboarding courses
    

Submission Requirements

Candidates must provide:

• Updated Resume
  
• Detailed project descriptions demonstrating required experience
  
• Employment history in MMM/YYYY to MMM/YYYY format
  
• Three professional references (most recent first)
  

ABOUT CORDIAL

We founded Cordial in 2014 on the belief that there should be more humanity and empathy in marketing—both in how brands communicate with their customers and in how technology companies work with brands. We built our company and platform purposefully, driven by a desire to inspire more thoughtful communication and to create experiences that feel more personal and human—for consumers, for the people at the companies we work with, and for Cordial employees. Today, brands like PacSun, Revolve, Abercrombie & Fitch, Realtor.com, L.L. Bean and Forbes rely on Cordial to drive revenue growth by sending a better message.

We chose the name Cordial to symbolize how we empower our clients to communicate with their customers, as well as how we do business: with transparency, collaboration, and trust. We’re building a passionate team of individuals willing to learn, grow, and be thoughtfully challenged on a daily basis to continuously improve our product, company, and culture every single day.

OUR VALUES

• Communicate better than the rest
• Own it, every time
• Solve client problems tenaciously
• Make Waves

Role Overview

We are looking to add a Data Scientist – Production Engineering to our data science team. This role focuses on operationalizing, optimizing, and scaling data science models and systems that are already in production or transitioning into production.

Our data science work extends beyond traditional machine learning and includes statistical models, optimization logic, heuristics, rules-based systems, ML and LLM models, all operating on large, real-world datasets. This role is designed to strengthen the implementation and performance side of our data science stack while working closely with data scientists, engineering and product teams. This role requires someone who can ramp up quickly, work independently, and contribute meaningfully without extensive onboarding.

Key Responsibilities

• Optimize existing data science models and systems for performance, scalability, and reliability
• Translate research-grade or prototype data science code into production-ready implementations
• Work with large datasets and improve efficiency related to memory usage, runtime, and compute cost
• Contribute to and maintain production data pipelines and workflows.
• Collaborate closely with other data scientists to preserve model intent, correctness, and assumptions while improving implementation quality
• Debug and resolve issues in production or near-production data science workflows
• Improve robustness, monitoring, and maintainability of deployed models and pipelines
• Support iterative model improvements and system evolution as business needs change

Required Experience & Qualifications

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field , plus 3+ years of experience working with real-world, industry, or production data in a data science, applied ML, or analytics role
• Demonstrated experience contributing to production data science or analytics systems, not only exploratory or academic projects
• Strong programming skills in Python and experience writing maintainable, production-quality code
• Experience working with large datasets and performance-sensitive workflows
• The code word is #becordial
• Prior experience with data pipelines and orchestration frameworks (e.g., Dagster, Airflow, etc.)
• Cloud platform expertise, particularly AWS services (Glue, Athena, ECS, S3 Tables, etc.) for scalable data processing and model deployments
• Hands-on experience with modern data warehouse solutions (Snowflake, BigQuery, etc.) including query optimization, clustering strategies, and cost management
• Experience with big data technologies and distributed computing frameworks for handling enterprise-scale event datasets
• Solid understanding of data science fundamentals, including statistics and modeling concepts, sufficient to work closely with research-oriented data scientists
• Ability to work independently and ramp up quickly in an existing codebase and system
• Experience working in small, fast-moving teams where ownership and autonomy are expected

COMPENSATION & BENEFITS

$140,000.00 - $175,000.00 base salary annually. The compensation range may be adjusted based on experience and location. In combination with base salary, Cordial’s compensation package includes equity and bonus, a robust benefit plan (medical/dental/vision/life), 401k match, flexible time off and paid company holidays. Additionally, we offer perks such as an annual company conference, childcare and continued education yearly reimbursements. We pride ourselves in maintaining a healthy work/life balance, a strong dedication to DE&I efforts, and an overall respectful and open culture!

APPLICATION INSTRUCTIONS

Resume Submission Requirement — Please Read Carefully

When uploading your resume, your file must be named in the following format:

FIRSTNAME-LASTNAME-CORDIAL2026

Example: JOE-DOE-CORDIAL2026

Applications that do not follow this naming convention exactly will be automatically rejected and will not be reviewed. Please double-check your file name before submitting.

Accepted file formats: PDF or Word (.docx)

WORK AUTHORIZATION

As of January 1, 2026, Cordial does not provide visa sponsorship, visa transfers, immigration support, or employment-related documentation for immigration purposes, including letters supporting visa applications, renewals, transfers, or work authorization, for new hires.

Cordial is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability status, sex (including pregnancy), age, gender, gender identity or expression, sexual orientation, marital status, veteran status, or any other characteristic protected by law.

Cordial is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you’ve begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Position Title:Epic Application Analyst – Healthy Planet/Compass Rose (Remote eligible)Department:IT Care Delivery ApplicationsJob Description:This position may be performed remotely from the following locations within the United States of America: Arkansas, Kansas, Missouri, Oklahoma, and Texas.

Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and integrates with EHR systems, helping care teams drive value-based outcomes, close care gaps, and proactively manage chronic disease. As we expand across Medicare Advantage and other value-based care programs, we need analytical talent that can translate complex clinical and financial data into narratives that drive action, for both our internal teams and our payer and provider customers.

You will be part of the analytical engine behind Counterpart Health’s value-based care performance insights. This role sits at the intersection of risk adjustment, quality measurement, utilization management, and cost analytics, and you will be expected to own the metrics that matter most to our payer and provider partners. Beyond the numbers, you are a storyteller: you turn dense claims and clinical data into clear, compelling narratives that help customers understand performance, identify opportunities, and take action. You will work closely with Customer Success, Clinical, and Product teams to ensure our analytics are accurate, trusted, and decision-ready.

As a Data Analyst, you will:

• Build and maintain core Value-Based Care (VBC) performance metrics across risk, quality, utilization, and cost domains, including HCC capture rates, RAF scores, PMPM trends, and inpatient/ED utilization rates.
• Develop customer-facing analytics, reports, and dashboards that surface actionable performance insights for payer and provider partners in a clear, narrative-driven format.
• Analyze Medicare Advantage performance data, including risk adjustment, quality bonus payments, and benchmark performance, to identify gaps, trends, and opportunities at the patient, provider, and market level.
• Translate complex data findings into executive-ready narratives: written summaries, slide-ready visuals, and structured QBR materials that tell a coherent story about performance and next steps.
• Conduct deep-dive utilization and cost analyses, including high-cost claimant reviews, avoidable utilization patterns, and specialty/pharmacy spend trends, to identify levers for improvement.
• Partner with Customer Success and Provider Operations teams to prepare and deliver performance reviews (QBRs, monthly reporting packages) that communicate value and surface priority action areas for each customer.
• Collaborate with Data Engineering to validate claims and clinical data pipelines, flag anomalies, and ensure metric consistency across customer populations.
• Contribute to the development of scalable analytics infrastructure: reusable SQL libraries, metric definitions, and documentation that enable the team to move faster.

You should get in touch if you have:

• 4+ years of hands-on healthcare data analytics experience, with direct exposure to payer or provider customers in a value-based care context.
• Deep familiarity with VBC metrics: risk adjustment (HCC coding, RAF scores), utilization (IP admissions, ED visits, readmissions), and cost (PMPM, total cost of care, benchmark vs. actual).
• Strong SQL skills, able to write complex queries across claims, eligibility, and clinical datasets in cloud-based warehouses (BigQuery, Snowflake, or similar).
• Exceptional data storytelling ability: you can translate analytical findings into clear narratives and visuals that resonate with both clinical and non-technical audiences.
• Experience building customer-facing reports and dashboards; comfortable presenting findings to external stakeholders (health plans, provider groups, ACOs).

Preferred Qualifications:

• Medicare Advantage experience, including familiarity with CMS risk adjustment models (CMS-HCC v24/v28), Star Ratings methodology, and MA quality bonus payment structures.
• Familiarity with clinical terminologies: ICD-10, CPT/HCPCS, NDC, SNOMED, LOINC.
• Experience using Python or R for data manipulation, cohort analysis, or statistical modeling.
• Background working with EHR or clinical data alongside claims (e.g., for care gap closure, chronic condition identification, or attribution logic).
• Prior experience in a health plan, risk-bearing provider group, ACO, or health tech company supporting VBC programs.

Benefits Overview:

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
• Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Remote-first culture, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians’ workflows to help support the earlier diagnosis and management of chronic conditions.

Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.

With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.

Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people’s lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone’s responsibility.

#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.

A reasonable estimate of the base salary range for this role is:

$96,000—$125,000 USD

SUMMARY: The Data Analyst is responsible for supporting business intelligence and analytics delivery by partnering with BI Developers, BI Architects, Data Architects, Data Engineers, and business stakeholders to translate business needs into clear, development-ready requirements.

This role supports the delivery of reporting and analytics solutions by understanding where data resides, how it moves through ETL/ELT processes, how it is modeled for reporting, and how business requirements should be documented for technical delivery. The Data Analyst serves as a liaison between business users and technical teams, helping define report requirements, clarify data logic, document source-to-target mappings, create development-ready tickets, support testing, and ensure BI solutions align with enterprise data standards and architecture patterns.

DUTIES AND RESPONSIBILITIES:

· Partner with business stakeholders to gather, clarify, and document reporting and analytics requirements.

· Work closely with BI Developers, BI Architects, Data Architects, and Data Engineers to translate business needs into technical specifications.

· Understand where data resides across source systems, data warehouses, semantic layers, and BI tools.

· Analyze ETL/ELT processes, data flows, transformations, and dependencies to support BI solution design.

· Document source-to-target mappings, business rules, metric definitions, filter logic, report logic, and reporting assumptions.

· Create clear, development-ready user stories, tickets, acceptance criteria, and supporting documentation for technical teams.

· Support backlog refinement, sprint planning, testing, and release coordination for BI and analytics work.

· Validate reporting outputs against source data, business rules, requirements, and expected results.

· Investigate data discrepancies, reporting defects, and gaps between business expectations and technical implementation.

· Coordinate across BI, data architecture, data engineering, and business teams to resolve issues and drive delivery.

· Support standardization of BI requirements, documentation practices, reusable reporting patterns, and intake processes.

· Assist with user acceptance testing and production validation for new or enhanced dashboards, reports, datasets, and semantic models.

· Communicate technical concepts clearly to non-technical stakeholders and communicate business context clearly to technical teams.

· Identify opportunities to improve reporting processes, data usability, development handoffs, and operational efficiency.

SUPERVISORY RESPONSIBILITIES:

· This job has no supervisory responsibilities.

COMPETENCIES:

· Diversity - Demonstrates knowledge of EEO policy; Shows respect and sensitivity for cultural differences; Promotes a harassment-free environment; Supports a diverse and inclusive workforce.

· Ethics - Treats people with respect; Keeps commitments; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values.

· Adaptability - Adapts to changes in the work environment; Manages competing demands; Changes approach or method to best fit the situation; Able to deal with frequent change, delays, or unexpected events.

· Analytical - Synthesizes complex or diverse information; Collects and researches data; Identifies patterns, gaps, and dependencies; Uses data and business context to support recommendations.

· Business Acumen - Understands business objectives, reporting needs, operational workflows, and how data supports decision-making.

· Communication - Speaks clearly and persuasively; Listens and gets clarification; Translates business needs for technical teams and technical concepts for business stakeholders.

· Documentation - Writes clearly and informatively; Documents requirements, decisions, data mappings, business rules, assumptions, and acceptance criteria in a clear and usable manner.

· Initiative - Undertakes self-development activities; Seeks increased responsibilities; Takes independent action; Identifies opportunities to improve processes and outcomes.

· Interpersonal Skills - Focuses on solving conflict, not blaming; Maintains confidentiality; Listens to others without interrupting; Remains open to others’ ideas and approaches.

· Organizational Support - Follows policies and procedures; Completes administrative tasks correctly and on time; Supports organization’s goals and values.

· Planning/Organizing - Prioritizes and plans work activities; Uses time efficiently; Develops realistic action plans; Coordinates work across multiple stakeholders and delivery timelines.

· Problem Solving - Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions; Uses reason and data to evaluate options.

· Project Coordination - Coordinates work across teams; Communicates changes and progress; Helps manage dependencies, risks, timelines, and handoffs.

· Quality - Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Validates work against requirements and expected results.

· Teamwork - Balances team and individual responsibilities; Welcomes feedback; Contributes to building a positive team spirit; Supports team goals and cross-functional collaboration.

· Technical Skills - Understands data concepts, BI tools, databases, and ETL/ELT processes; Pursues training and development opportunities; Shares expertise with others.

· Written Communication - Writes clearly and informatively; Edits work for spelling and grammar; Presents technical and business information in a way that is easy to understand.

PHYSICAL DEMANDS AND WORK ENVIRONMENT:

· Continually required to sit.

· Continually required to utilize hand and finger dexterity.

· Occasionally required to stand.

· Occasionally required to walk.

· Continually required to talk or hear.

· Specific vision abilities required by this job include close vision, depth perception, and ability to adjust focus.

· Work is performed in a professional office, remote, or hybrid work environment with standard office lighting and noise levels.

· Employee may be required to use a computer, telephone, video conferencing tools, and standard office equipment for extended periods of time.

· Tight deadlines may need to be met while coordinating across multiple stakeholders and priorities.

· Occasional evening and weekend work may be required to support releases, urgent reporting needs, or production validation.

· Employee may need to travel within the U.S. on an occasional basis.

· Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The above is intended to describe the general content and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

QUALIFICATIONS:

· bachelor’s degree in information systems, Business Analytics, Computer Science, Data Analytics, Business Administration, or related field; equivalent experience may be considered.

· 3+ years of experience as a Data Analyst, BI Analyst, Business Analyst, Technical Business Analyst, Systems Analyst, or similar role supporting data, reporting, or analytics initiatives.

· Strong understanding of BI delivery processes, reporting requirements, data models, and analytics solution design.

· Experience working with BI tools such as Power BI, ThoughtSpot, Tableau, Looker, or similar platforms.

· Experience working with data warehouses, relational databases, or cloud data platforms such as Snowflake, SQL Server, Azure, or similar technologies.

· Ability to read and write SQL for data investigation, validation, requirements analysis, and troubleshooting.

· Understanding of ETL/ELT concepts, data pipelines, source-to-target mapping, transformation logic, and data dependencies.

· Experience creating user stories, acceptance criteria, process flows, data mappings, technical specifications, and supporting documentation.

· Strong communication skills with the ability to work effectively between business stakeholders and technical teams.

· Strong analytical, problem-solving, and organizational skills with attention to detail and accuracy.

· Experience with Agile delivery tools such as Jira, Azure DevOps, or similar platforms preferred.

· Preferred domain experience includes healthcare, pharmacy, patient services, specialty pharmacy, hub services, payer/insurance, life sciences, pharmaceutical, or other regulated operational reporting environments.

• Supportive, progressive, fast-paced environment
• Competitive pay structure
• Matching 401(k) with immediate vesting
• Medical, dental, vision, life, & short-term disability insurance

AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws.

All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check.

ABOUT US

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook.

We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

YOUR RESPONSIBILITIES

• Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings.
• Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work.
• Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
• Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means.
• Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy.
• Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business.
• Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve.
• Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work.
• Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side.

YOUR SKILLS AND EXPERIENCE

• 3+ years of professional experience as a data analyst, analytics engineer, or similar role
• Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
• Hands-on experience with dbt, including writing models, tests, and documentation. You don’t need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
• Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
• Version control with Git/GitHub as part of your normal workflow
• Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
• A real point of view on AI-assisted development for analytics work — what it’s actually good at, where it falls down, what you do to make the output trustworthy
• History of building collaborative, trusting relationships with non-technical stakeholders
• Comfort presenting findings to leadership verbally, in writing, and visually

PREFERRED ADDITIONAL SKILLS AND EXPERIENCE

Though not required, we would consider the following as an added plus:

• Working knowledge of Python and/or R for analysis
• Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
• Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
• Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
• Experience working in a small or solo data team where you owned the work end-to-end

THE FINE PRINT

• Must be able to work in a stationary position 50% - 75% of the work day
• Medical, Dental Vision plans
• Company Paid Long Term Disability
• Employee Assistance Programs
• 401k with Match
• Generous paid time off policies
• Gear test, perks and more

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.