Junior Data Analyst Healthcare Claims & Experimentation (Only W2)

Job Title: Junior Data Analyst Healthcare Claims & Experimentation
Location: Remote

Role Overview

CVS is seeking a Junior Data Analyst to support healthcare claims analytics and experimentation initiatives. This role focuses on transforming large-scale claims data into actionable insights, supporting A/B testing programs, and developing reliable performance metrics.

The ideal candidate has strong SQL skills, hands-on Python experience for statistical analysis, and foundational knowledge of experimentation frameworks. Exposure to healthcare claims data and HIPAA-compliant environments is highly preferred.

Key Responsibilities

• Query, clean, and transform large healthcare claims datasets (claim header & line-level).
• Build and maintain KPIs, dashboards, and reporting frameworks in BI tools.
• Design, execute, and analyze A/B tests:
• Hypothesis formulation
• Randomization validation
• Sample size calculation
• Statistical test selection
• Result interpretation & stakeholder presentation
• Develop cohort analyses and experiment measurement frameworks.
• Ensure compliance with HIPAA and data governance standards.
• Document data lineage, assumptions, and metric definitions.
• Partner with Data Scientists, Data Engineers, and Product Managers on:
• Data quality validation
• Experiment implementation
• Pipeline enhancements

Required Qualifications

• 0 3 years of experience in Data Analytics or related field.
• Strong SQL (joins, aggregations, window functions, CTEs).
• Python for:
• Data wrangling (pandas, numpy)
• Statistical testing (scipy, statsmodels)
• Basic R knowledge (tidyverse or base R).
• Foundational knowledge of:
• A/B testing methodology
• Hypothesis testing
• p-values & confidence intervals
• Power & sample size calculations
• Understanding of healthcare claims data:
• Member vs Provider
• Claim header vs line-level data
• CPT/ICD codes
• Experience with at least one cloud data warehouse (Preferably Google Cloud Platform/BigQuery).

Nice to Have

• Experience working with PHI and HIPAA-compliant workflows.
• Exposure to healthcare payer systems.
• Experience with BI tools (Tableau, Looker, Power BI).