Senior GCP Data Analyst

CVS Health

41d

About The Position

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary This role drives analytic insight and operational execution to improve Medicare Advantage and Part D Star Ratings. You will partner with Stars business leads and the Stars Data Science (DS) teams to translate measure definitions into robust datasets, dashboards, and actionable analytic narratives—leveraging our internal Stars data warehouse and contributing to their data inputs and outputs where appropriate. Baseline cloud engineering skills on Google Cloud Platform (GCP)—especially BigQuery, Cloud Storage, Pub/Sub/Dataflow (Apache Beam), and secure IAM patterns—are required to build and sustain data pipelines that feed Stars reporting, analytics, and self-service tools, consistent with healthcare data governance and HIPAA expectations.

Requirements

• Experience: 5+ years in healthcare analytics, including at least 3+ years working directly on Medicare Stars (Part C/Part D) or adjacent quality programs (HEDIS®, CAHPS, HOS).
• GCP fundamentals: Hands-on with BigQuery (SQL, partitioning, optimization), Cloud Storage, IAM roles/service accounts, and at least one pipeline/streaming technology (Dataflow, Pub/Sub) for ingestion or transformation.
• Data skills: Advanced SQL; practical Python for ETL/EDA; comfort with data quality/validation frameworks and version control (Git).
• Analytics & BI: Experience building metric definitions, dashboards, and self-service datasets; fluency with at least one BI tool (e.g., Looker/Looker Studio, Tableau, Power BI).
• Healthcare compliance: Working knowledge of HIPAA and PHI/PII handling.
• Communication: Strong stakeholder engagement, executive-ready storytelling, and documentation disciplined for auditability.

Responsibilities

• Stars analytics & measure enablement Build and maintain analytic assets that align to CMS Star Ratings methodology for Part C & Part D
• Data sourcing & pipeline development (GCP) Design and operate basic GCP data pipelines (BigQuery SQL, Dataflow/Apache Beam jobs, Pub/Sub ingestion, Cloud Storage staging) with appropriate schema management, data quality checks, and lineage documentation; apply least‑privilege IAM access and PHI/PII handling practices.
• Platform partnership (Stars DI) Collaborate with Stars Strategy & Data science product owners to supply/consume data from Enterprise (PBM, EDW), Stars platforms such as SCP and SMT, ensuring freshness, accuracy, and usability for analysts and business partners.
• Insight delivery & storytelling Translate complex performance patterns into concise narratives, executive-ready visuals, and “so‑what” recommendations for interventions (member outreach, provider engagement, operational process changes).
• Compliance & governance Operate within CMS compliance, HIPAA, and internal data governance standards; document assumptions, calculation logic, and audit trails aligned to Stars reporting controls.

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees