Stellar Health

Senior Analytics Engineer

Job Description

About Stellar Health:

Historically, US Healthcare has relied on a fee-for-service reimbursement system where providers are paid based on the quantity of patient visits and procedures, rather than the quality of health outcomes.

At Stellar Health, we help primary care providers put patient health first. Our platform - a mix of technology, people, and analytics - supports providers at the point of care, delivering real-time patient information, activating practice staff, and empowering providers and care teams with incentives that reward the work they are already doing to keep patients healthy. Using the Stellar App, our web-based, point-of-care tool; practices receive a simple checklist of recommended actions that support the best quality care. Providers and care teams are then paid monthly for each action they complete, and Payors save money in reduced healthcare costs along the way.

Stellar is a US-based Health-tech backed by Top VCs (General Atlantic, Point72, & Primary Venture Partners) with an established product & proven operating model. We’ve shown that we make a real difference for physician practices and their patients.

About the position:

As a Senior Analytics Engineer at Stellar Health, you will play a key role in leveraging our data to drive improved patient outcomes and support our value-based care initiatives. You will be responsible for designing and building robust data models and tools that empower our Customer Success team to monitor key metrics and make data-driven decisions.

This role requires a strong understanding of both the business context and technical data architecture, with a focus on delivering actionable insights through effective data solutions. You will report into the Enterprise Analytics team within Engineering and collaborate closely with cross-functional teams, including Engineering, Product, and Customer Success.

What you’ll do:

Collaborate with team members across Stellar Health to collect business requirements, define successful analytics outcomes, design data models, implement data models, and automated data refreshes.
Design and deliver new analytics data models and schema with dbt, primarily designed using dimensional modeling.
Develop and maintain interactive dashboards and reports using Tableau, enabling data visualization and insights for stakeholders.
Develop code that establishes the benchmark for best practices in a high-scale data environment, including source code management, unit testing, CI/CD, and peer code reviews.
Work with team members to review and approve code and other software artifacts.
Keep documentation up-to-date in Notion, Docs, and other knowledge bases.
Advocate for Analytics best practices.
Keep the team and others up-to-date on plans and progress with Jira and related status meters.

As Senior Analytics Engineer you should have:

- Deep Analytics Experience: 6+ years of experience as an Analytics Engineer, Data Engineer, or equivalent, with a strong focus on data modeling and analysis. DBT proficiency is essential.
- Expert SQL Skills: 4+ years of advanced SQL experience, including complex joins, CTEs, partitioning, pivoting, and aggregations.
- Expert Dimensional Modeling: 2+ years of experience designing and implementing dimensional data models (Kimball preferred) for analytical purposes.
- Expert Tableau Development: 3+ years of experience designing and developing interactive dashboards and reports using Tableau, with a focus on delivering actionable insights.
- Data Pipeline Management: 4+ years of experience building and automating data pipelines using tools like Airflow or similar orchestration platforms.
- Full-Stack Data Development: A passion for owning the entire data development lifecycle, from requirements gathering with business partners to dashboard creation in Tableau.
- Technical Leadership: Ability to clearly communicate technical concepts, lead projects, and provide guidance to team members.
- Collaborative Spirit: Strong interpersonal skills and the ability to build rapport quickly with cross-functional teams.
- Intellectual Curiosity: A proactive approach to learning, with a desire to understand the business and ask insightful questions.

Who will love this job:

This role is perfect for someone eager to shape the future of Enterprise Analytics at Stellar Health. We're building from a solid foundation, but you'll have the unique opportunity to contribute significantly to defining our analytics approach and establishing best practices. If you thrive in an environment where you can directly influence the team's direction, and you're excited to leverage your deep analytics expertise to build impactful data products that drive critical business decisions, you'll find this role incredibly rewarding. Join us as we evolve our analytics capabilities and create lasting impact.

Pay:

The salary range for a Senior Analytics Engineer is $150,000-$190,000 and will be eligible for equity and an annual performance based bonus. Where a new hire falls within this range will be based on their individual skills and experience, and how these competencies compare across other employees in the same role. Stellar's bands are designed to allow for individual compensation growth within the role. As such, new hires typically start at the lower end of the range. Stellar rewards performance and outcomes - should you join the company, you will have the opportunity to grow your salary over time.

Stellar reserves the right to change our compensation bands at any time.

Perks & Benefits:

Stellar offers a carefully curated selection of wellness benefits and perks to our employees:

Medical, Dental and Vision Benefits
Unlimited PTO
Universal Paid Family Leave
Company sponsored One Medical memberships and Citibike memberships
Medical Travel Benefits
A monthly wellness stipend that gives employees the freedom to choose where they spend their cash, whether it be on wellness, pet care, childcare, WFH items, or charitable donations
Stock Options & a 401k matching program
Career development opportunities like Manager Training, coaching, and an internal mobility program
A broad calendar of company sponsored social events that for our in-office and remote employees

Diversity is the key to our success. Stellar Health is an equal opportunity employer and we are open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, veteran status, or any other legally protected status.

We believe that diverse teams -and the different identities, cultures, and life experiences our team members bring to the table- enable us to create amazing products, find creative solutions to interesting problems, and build an inclusive working environment.

Stellar Health Employment Privacy Notice

At Stellar Health, your privacy and security as a job seeker is a priority no matter where you are in the interview process. As recruiting scams have become more prevalent, please take note of the following practices to ensure the legitimacy of any interaction with our team.

Please note that any communication from our recruiters and hiring managers at Stellar Health about a job opportunity will only be made by a Stellar Health employee with an @stellar.health email address.
Stellar Health does not utilize third-party agencies for recruitment services and does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information.
We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the Stellar Health People Ops Team with an @stellar.health email address.

If you are ever unsure whether you are in contact with a legitimate Stellar Health teammate, please contact [email protected]. If you believe you've been a victim of a phishing attack, please mark the communication as “spam” and immediately report it by contacting the U.S. Federal Trade Commission.