Senior Data Analyst II

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:

Healthcare data is notoriously high-variance and fragmented, but we don’t just report on it—we make it actionable. We are seeking a Senior Data Analyst who pairs deep technical mastery with the "analytical skepticism" required to find the truth in complex datasets. In this role, you will serve as a strategic architect of our Value-Based Care and medical economics frameworks. You’ll be tasked with the unique challenge of leveraging our access to massive payer data sets and marrying them with Stellar’s real-time application data to build high-integrity models that show our partners exactly where the opportunities for clinical impact live.

What you'll do:

Synthesize Complex Datasets: Bridge the gap between massive, longitudinal payer data sets and granular Stellar application data. You won’t just report numbers; you’ll build the models that define how we measure clinical impact and medical group performance.

Engineer High-Impact BI & ETL: Design and maintain sophisticated data products. This involves optimizing modular SQL-based workflows and building intuitive, enterprise-grade dashboards in Tableau and Looker that allow stakeholders to self-serve with confidence.
Apply Analytical & Statistical Rigor: Serve as the "sniff test" for the organization. You will ensure our reporting accounts for n-size volatility and population shifts, identifying the real signal within the noise of healthcare claims and operations data.

Translate Insights into Strategy: Convert complex analytical findings into compelling "business stories." You’ll partner with leaders in Operations, Finance, and Sales to turn data into strategic shifts—not just incremental improvements.

Build Scalable Data Assets: Collaborate with Product Data Scientists and Analytics Engineers to harden our data infrastructure. You will identify and automate customer-specific logic (like inclusions/exclusions) to eliminate manual tribal knowledge and ensure data reliability at scale.

Mentor and Elevate: Actively raise the technical bar for the analytics team. You’ll share best practices in methodology and technical execution, fostering a culture of high-integrity analysis and shared knowledge.

As a Senior Data Analyst you should have:

Quantitative Foundation: A Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.

Deep Domain Expertise: 6–9 years of experience in data analytics, with a significant portion dedicated to Healthcare Economics, Value-Based Care, or Claims Analysis. You should be an expert in the nuances of risk adjustment, quality metrics, or PMPM trends.

SQL Mastery: Advanced proficiency in SQL. You should be an expert in writing modular, high-performance code, utilizing window functions, CTEs, and complex joins to transform messy raw data into clean analytical sets.

Tool Agility: Familiarity operating within the modern BI and ETL landscape generally, with specific expertise in leveraging modern analytics tools (such as Tableau, Looker, dbt, or Snowflake) to accelerate and deepen your analysis.

Analytical & Statistical Rigor: A proven ability to apply statistical logic to business problems.

Strategic Communication: The ability to move beyond "what happened" to "why it matters." You can translate a complex statistical finding into a clear, strategic recommendation for executive leadership.

Who will love this job:

You’ll thrive here if you are a proactive investigator who enjoys the challenge of finding the signal in the noise healthcare datasets. You are passionate about building automated, structural solutions and want to see your analytical rigor directly drive the strategic North Star of the company.

Pay:

The salary range for this role is $155,000 - $195,000 + 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.

Perks & Benefits:

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

• Medical, Dental and Vision Benefits

• Flexible 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.