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Manager, Data Engineer
CVS Health. Analyze data to answer business questions using SQL .
Posted 9/18/2026full-timeRemote • Illinois • United StatesMid-LevelSenior💰 $54,300 - $145,860 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and visualization, utilizing SQL and Power BI to create actionable insights. Proficient in building data pipelines and models in cloud environments like GCP, Snowflake, and BigQuery, while leveraging AI tools for enhanced analytics.
Highest-signal resume keywords
SQL Query OptimizationPower BI Dashboard DevelopmentData Pipeline ConstructionCloud Data Warehouse ExperienceAI/LLM-Based Analytics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData VisualizationData ModelingETL DevelopmentDAX MeasuresPythonDimensional Data ModelsData AnalysisAI ToolsAutomated Insight Generation
Soft Skills
Analytical SkillsProblem-SolvingCritical ThinkingBusiness CommunicationOrganizational Skills
Tools & Technologies
Power BIGCPSnowflakeBigQueryOrchestration Tools
Certifications & Qualifications
Microsoft Power BI Certification
Industry Keywords
Analytics EngineeringBusiness IntelligenceSelf-Serve AnalyticsEmbedded AnalyticsStar Schema
Tech Stack
Tools & technologiesBigQueryCloudETLGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Analyze data to answer business questions using SQL
- Build and maintain data visualization dashboards, including Power BI
- Build and maintain data pipelines and data models primarily in GCP, Snowflake, and BigQuery
- Partner with stakeholders throughout the organization and with analysts and engineers on the team
- Use AI-assisted tools to accelerate analysis and development
- Evaluate where AI/LLM-based approaches, such as natural language querying, automated insight generation, and anomaly detection, can add business value
- Help leaders make data-driven decisions through actionable insights and reporting tools
Requirements
What you’ll need- 5+ years of experience in analytics engineering, data analysis, or BI development
- Experience using AI tools to support analysis, coding, and documentation
- Strong SQL skills, including writing and optimizing complex queries and transformations
- Hands-on experience building dashboards, data models, and DAX measures in Power BI
- Hands-on experience working with a cloud data warehouse; Snowflake or BigQuery preferred
- Experience designing dimensional data models, such as star schema, for analytics use
- Experience building and maintaining ETL/data pipelines
- Strong analytical, problem-solving, and critical-thinking skills
- Excellent business communication skills and ability to translate stakeholder questions into analysis and explain technical findings to non-technical audiences
- Strong organizational skills with ability to manage multiple priorities
- Bachelor's degree in a related field or equivalent practical experience
- Microsoft Power BI certification or equivalent preferred
- Experience with Python or another scripting language for data manipulation/automation preferred
- Experience with orchestration tools preferred
- Prior experience working directly with business stakeholders in a self-serve analytics or embedded analyst capacity preferred
- Experience applying AI/LLM-based approaches to analytics and BI preferred
Benefits
Comp & perks- CVS Health bonus, commission or short-term incentive program in addition to base pay
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources supporting physical, emotional, and financial well-being, based on eligibility