Senior Analyst, GCP Business Analytics - Work From Home

CVS Health is a leading health care company dedicated to simplifying health care for individuals and communities. They are seeking a Senior Analyst in GCP Business Analytics to analyze case and call volumes, staff productivity, and resource planning to drive operational efficiency and support business partners. The role involves automating data reporting and leveraging statistical modeling to inform business strategies.

Responsibilities:

• Automating manual data processes
• Migrating applications to modern technologies
• Preparing data for Tableau dashboards that deliver prior authorization insights and exception reporting
• Conducting exploratory data analysis and apply statistical and predictive modeling techniques to identify trends, forecast volumes, and support workforce planning
• Build and validate data pipelines and machine learning workflows using Python, Dataiku, and cloud‑based tools
• Collaborate with operations teams to understand business needs and develop logic and metrics for Tableau KPIs, ensuring accurate and actionable reporting

Requirements:

• 2–5 years of experience in data analytics, reporting, and database development
• Strong knowledge of database technologies including PL/SQL, T-SQL, stored procedures, query optimization, and performance tuning
• Hands-on experience creating SQL queries, packages, functions, and views for ad-hoc and recurring reports
• Proficiency in Microsoft SQL Server development, troubleshooting, and optimization
• Advanced skills in ETL and reporting tools such as SSIS, SSRS, Alteryx; exposure to Dataiku is a plus
• Working knowledge of multiple RDBMS platforms (Oracle, Teradata) and complex SQL report development
• Experience with Python for data processing and automation
• Familiarity with cloud platforms, preferably Google Cloud Platform (GCP), including SQL Server on GCP
• Understanding of database design principles, logical and physical data models
• Ability to translate business requirements into technical specifications
• Experience applying statistical methods (e.g., regression, clustering, forecasting) to operational or business datasets
• Ability to build and evaluate predictive models or machine learning workflows using Python libraries such as pandas, scikit‑learn, statsmodels, or NumPy
• Knowledge of Software Development Life Cycle (SDLC) and documentation best practices
• Strong problem-solving and analytical skills with the ability to assess business impacts and prioritize tasks
• Excellent communication and collaboration skills; ability to work independently and in a team environment
• Agile mindset with a focus on delivering incremental value and incorporating feedback quickly
• Ability to learn new domains and data sources rapidly
• Experience with GCP/BigQuery
• Experience with machine learning model deployment, monitoring, or MLOps pipelines
• Familiarity with visualization best practices and dashboard storytelling for data science insights
• Ability to enforce best practices
• Prior experience in PBM services, insurance, or healthcare
• Strong presentation skills and experience engaging with business stakeholders