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Product Data Analyst

Clover Health

$150,000 - $175,000
Dec 5, 2025
Remote, US
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Counterpart Health is transforming healthcare by improving patient care with their innovative tool, Counterpart Assistant. The company aims to support Primary Care Physicians (PCPs) by delivering improved outcomes at a lower cost through early diagnosis and longitudinal care management of chronic conditions.

Requirements

  • Deep experience designing and analyzing A/B tests, cohort analyses, and causal inference-based evaluations.
  • Strong SQL skills, including complex joins, CTEs, and window functions, with experience in modern cloud data warehouses.
  • Hands-on experience with product analytics tools (Pendo, Amplitude, Mixpanel, or similar).
  • Experience with dashboards and data visualization, delivering insights to cross-functional stakeholders.
  • Preferred: experience in digital health, familiarity with EHR systems (Epic, Cerner), clinical terminologies (ICD, CPT, FHIR), or provider workflows.
  • Preferred: experience with clinical or claims datasets, care gap analytics, and value-based care environments.

Responsibilities

  • Define, implement, and maintain product metrics and KPIs across adoption, usage, funnels, engagement, and clinical impact.
  • Build and maintain dashboards and reporting in tools such as Looker, Mode, or similar, surfacing timely insights to product and clinical stakeholders.
  • Design, run, and analyze A/B tests, multivariate experiments, and cohort analyses to validate feature impact and inform product strategy.
  • Develop statistical models (e.g., regression, survival analysis, causal inference) to quantify the relationship between clinician behavior and clinical or business outcomes.
  • Instrument features using product analytics tools (e.g., Pendo, Mixpanel, Amplitude), owning event schema design, funnel tracking, and behavioral segmentation.
  • Query and transform data from cloud data warehouses (BigQuery, Snowflake, Redshift) using advanced SQL, and supplement with Python as needed.
  • Partner with data engineering to validate data pipelines, ensure data quality, and maintain consistent and trustworthy metric definitions.

Other

  • 3+ years of hands-on experience in product analytics, growth analytics, or data science supporting SaaS or digital products.
  • Excellent cross-functional communication skills, with the ability to distill complex analyses into clear recommendations.
  • A collaborative mindset and prior experience partnering with product, engineering, UX, and clinical teams.
  • Translate quantitative findings into clear recommendations that influence product direction and roadmap decisions.
  • Monitor post-launch performance to identify adoption gaps, usability issues, or opportunities for iterative improvement.