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Analyst, Omnichannel Analytics
CVS Health. Support the development and execution of the Omnichannel Data Strategy .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, SQL, and data visualization to drive business insights and measurable outcomes. Proficient in collaborating with cross-functional teams and communicating complex findings effectively to influence business decisions.
Highest-signal resume keywords
SQL Data AnalysisData Visualization DevelopmentA/B Testing Design and AnalysisCloud-Based Data Warehouse ExperienceAdvanced Analytics Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData VisualizationData CleansingStatistical AnalysisPredictive AnalyticsPerformance MeasurementData ReportingDashboard CreationAd Hoc Analysis
Soft Skills
Analytical SkillsProblem-SolvingCritical ThinkingCommunication SkillsPresentation Skills
Tools & Technologies
SnowflakeData Strategy ToolsAnalytics PlatformsReporting ToolsVisualization Software
Industry Keywords
Omnichannel Data StrategyDigital Performance MetricsWebsite KPIsCustomer Behavior AnalysisBusiness Performance Insights
Tech Stack
Tools & technologiesCloudPythonSnowflakeSQL
About the role
Key responsibilities & impact- Support the development and execution of the Omnichannel Data Strategy
- Create and maintain partner-facing reports, dashboards, and visualizations
- Write complex SQL queries and perform data cleansing
- Conduct ad hoc analyses and respond to data requests from business partners
- Assist with test design, A/B testing, performance measurement, and results analysis
- Support the self-service reporting ecosystem
- Partner with Data Strategy, Data Engineering, Data Science, and other analytics teams to improve processes and reporting
- Monitor and analyze digital performance metrics and website KPIs
- Communicate findings, trends, and recommendations through presentations and reporting
- Explore new data sources and analytical approaches to understand customer behavior and business performance
Requirements
What you’ll need- 1+ years of hands-on experience in data analysis using SQL, Python, Snowflake, or similar technologies
- 1+ years of experience in an analytics role driving business insights and delivering measurable outcomes
- 1+ years of experience developing data visualizations, dashboards, and reports
- 1+ years of experience designing, executing, and analyzing A/B tests
- Strong analytical, problem-solving, and critical thinking skills
- Ability to communicate complex findings to technical and non-technical audiences
- Bachelor's degree in quantitative field, or an equivalent combination of formal education and experience
- Experience collaborating across multiple business units and cross-functional teams
- Experience with advanced analytics methodologies and statistical analysis techniques
- Exposure to statistical modeling and predictive analytics
- Experience working with cloud-based data warehouse platforms
- Strong presentation and data storytelling skills with the ability to influence business decisions through analytics
Benefits
Comp & perks- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources supporting physical, emotional, and financial well-being
- Eligibility for CVS Health bonus, commission or short-term incentive program in addition to base pay