Manager, GCP Business Analytics

CVS Health is dedicated to building a world of health around every individual, and they are seeking a Manager for GCP Business Analytics to deliver analytics and insights that support Clinical operations. This role involves analyzing, designing, and implementing data solutions using Google Cloud Platform, while acting as an internal analytics specialist to automate data processes and support business insights through Tableau dashboards.

Responsibilities:

• Deliver the analytics and insights to support Clinical operations
• Analyze, design and implement data solutions using Google Cloud Platform
• Act as an internal analytics specialist, utilizing tools such as SSIS, SSRS, Teradata, Alteryx, GCP, Python, Tableau, Dataiku and other analytical tools
• Support data automation reporting from multiple data source connections, with a primary focus on GCP migration strategy
• Focus on automation of current manual data processes, as well as supporting data staging necessary for Tableau dashboards
• Work with various business partners in operations to gain an understanding of their needs and develop appropriate business logic metrics to be represented in Tableau KPIs

Requirements:

• A minimum requirement of 5+ years of experience with below qualifications:
• Strong knowledge on Database Related Technologies such PL/SQL, T-SQL, SQLS, Stored Proc, query optimization, and performance tuning
• Hands-on experience creating SQL queries, packages, functions, and views for ad-hoc and recurring reports
• Proficiency in cloud platforms, preferably Google Cloud Platform (GCP), including SQL Server on GCP
• Advanced skills in ETL and reporting tools such as SSIS, SSRS, Alteryx, Python; 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
• 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
• Bachelor's Degree or equivalent work experience required
• Experience and proficiency with Dataiku tool
• Ability to enforce best practices
• Prior experience in PBM services, insurance, or healthcare
• Strong presentation skills and experience engaging with business stakeholders