CVS HealthRemote
Senior Analyst - GCP Business Analytics - Work From Home
United States of America
Full Time
2 weeks ago
$47,000 - $112,000 USD
H1B Sponsor Likely
Key skills
Data AnalyticsDatabase DevelopmentPL/SQLT-SQLStored ProceduresQuery OptimizationPerformance TuningSQL Query WritingMicrosoft SQL ServerETL ToolsSSISSSRSAlteryxDataikuRDBMS PlatformsOracleTeradataPythonCloud PlatformsGoogle Cloud PlatformDatabase DesignLogical Data ModelingPhysical Data ModelingStatistical MethodsRegressionClusteringForecastingPredictive ModelingMachine Learning WorkflowsPython Libraries - pandasPython Libraries - scikit-learnPython Libraries - statsmodelsPython Libraries - NumPySoftware Development Life CycleAnalytical SkillsAgile MindsetDocumentation Best PracticesSQLMachine Learningscikit-learnPandasNumPyMLOpsETLAnalyticsTableauBigQueryGCPGoogle CloudSQL ServerAgileSDLCCommunicationCollaborationPresentation Skills
About this role
CVS Health is a company dedicated to building a world of health around every individual. They are seeking a Senior Analyst to analyze case volumes, call volumes, and staff productivity to drive operational efficiency and support business functions.
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
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