[Hiring] Senior Product Analyst @Clarify Health

Role Description

We are looking for a Senior Product Analyst to own the analytics behind the metrics customers see. This role will advance the technology that groups Clarify’s standardized healthcare claims into units of analysis such as patient years, surgical episodes, and referral relationships, then into the metrics and categories the products run on. Every metric traces back to a grouping someone on this team defined, populated, and validated.

You will own pieces of that layer from pipeline development, QA and test coverage, and promotion into production. Feature requests arrive from product and customer-facing teams, and you will scope them, write the logic, and validate the result.

This is a hands-on role that is an ideal fit for an analyst who knows healthcare data, understands what the codes on a claim represent, and treats a wrong number as their own problem. SQL is the daily tool, and the scripting and pipeline tooling can be picked up here.

The Senior Product Analyst will be responsible for a range of responsibilities, including (but not limited to):

• Own the data methodology
• Carry derived data points through from development through QA into production, including the logic that defines them and the tests each one has to pass before they are consumed downstream.
• Write the data methodology and logic customers ultimately see: episode triggers, provider attribution, cost standardization, and quality measure numerators, denominators, and exclusions.
• Manage and build upon Clarify’s reference data library, including mappings and codesets.
• Validate the numbers
• Prove a number before anyone else has to, using reconciliation SQL, version-over-version comparisons, and impact analysis.
• Turn one-off QA into standing coverage: data tests, comparisons against a known-good baseline, and completeness thresholds.
• Run the data refresh and delivery cadence for customer environments once ingestion is complete.
• Turn requests into delivered analytics
• Scope feature requests, write specifications and acceptance criteria, and decide on implementation.
• Settle methodology that crosses teams, including attribution logic and provider reference data.
• Hold AI-assisted tooling to the same standard as your own work.

Qualifications

• Bachelor's degree in a quantitative, technical, or health-related field, or equivalent practical experience
• Five or more years in data analysis, healthcare analytics, or a comparable data-heavy role
• Advanced SQL skills
• Experience in the AWS ecosystem and with industry-leading AI models
• Working knowledge of healthcare data and the context around it
• Experience with data in a production setting
• Clear writing skills for specifications and decision records

Requirements

• A high bar and the work ethic to hold it
• Ownership mindset
• Comfort with ambiguity
• A bias toward action

Preferred Qualifications

• Depth in a healthcare domain such as episode grouping or quality measurement
• Experience with BI and dashboarding tools
• Recurring data quality checks
• Python/Pyspark experience

Benefits

• Competitive compensation (base + bonus + equity)
• Quality health insurance
• Traditional 401K plan
• Vision, dental, disability, and life insurance
• Flexible Spending Accounts and Commuter Benefits
• Generous PTO
• Flexibility
• Monthly work-from-home stipend
• Remote friendly
• A collaborative workplace
• A chance to learn with and from interesting colleagues
• $142,000 - $167,000 a year