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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in retention marketing analytics, including advanced segmentation, causal inference methods, and the development of scalable analytics frameworks. Proficient in SQL and BI tools, with a strong ability to present insights to senior leadership and influence strategic decisions.
Highest-signal resume keywords
Retention Marketing AnalyticsExpert SQL SkillsPower BI ProficiencyChurn ModelingCausal Inference Methods
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsStatistical AnalysisScenario ModelingTest-and-Control DesignQuasi-Experimental DesignKPI DevelopmentWorkflow AutomationAdvanced SegmentationBusiness Case DevelopmentData Governance
Soft Skills
Influencing Strategic DecisionsExecutive Presentation SkillsAnalytical Problem SolvingCoaching and Development
Tools & Technologies
PythonRBigQuerySnowflakeAI ToolsBusiness Intelligence Tools
Industry Keywords
Customer Lifetime ValueRetention ScorecardSubscription-Based ServicesProperty & Casualty InsuranceLifecycle Marketing
Tech Stack
Tools & technologiesBigQueryCloudPythonSnowflakeSQL
About the role
Key responsibilities & impact- Serve as an analytics thought partner to Retention Marketing leadership and primary point of contact for senior stakeholders
- Shape the retention measurement and insights agenda
- Own the strategy for measuring retention marketing across email, direct mail, digital and in-app messaging, and renewal communications
- Set standards for measuring incremental impact on retention, cancellations, and policies in force
- Reframe ambiguous asks into decision-ready analytical questions
- Lead complex causal questions using holdout design, test-and-control, or quasi-experimental methods
- Lead forecasting and business case analysis to size retention opportunities and inform investment decisions
- Build and own the retention scorecard mapped to the business scorecard
- Run holdout and test-and-control reads on lifecycle journeys and deliver results regularly
- Connect retention to customer lifetime value and combined ratio
- Automate recurring retention reporting with Business Intelligence
- Develop and standardize scalable retention analytics frameworks, KPI definitions, scorecards, and test-read protocols
- Partner with Business Intelligence on automated reporting and influence data governance and quality standards
- Select and combine data based on decision needs and explore new data sources
- Craft executive-ready narratives and present analytical approaches to senior marketing leadership
- Set quality standards and develop QA frameworks and checklists
- Balance 2–3 major strategic initiatives with ad-hoc requests
- Influence tool selection and recommend technologies, including automation and AI tools
- Partner with Data Science, BI, and Data Operations on churn modeling, metric alignment, and shared data assets
Requirements
What you’ll need- Bachelor’s degree in a quantitative field (Statistics, Mathematics, Economics, Data Analytics, Data Science, Computer Science, or similar)
- 7+ years of experience in marketing analytics, customer analytics, or a closely related role, including leading measurement and insight work for retention, lifecycle, or CRM programs
- Experience working inside a renewal or subscription-based service business where retention is central to the business model
- Expert SQL skills with deep query optimization knowledge
- Working proficiency in Python or R for analysis and workflow automation
- Expert in BI tools; Power BI strongly preferred
- Recent, hands-on delivery of analysis, including designing and reading test-and-control or holdout measurement
- Deep expertise in advanced segmentation, scenario modeling, business case development, and experimental and quasi-experimental measurement design
- Proven track record of presenting to senior leadership and influencing strategic decisions with analytical insight
- At this time, GEICO will not sponsor a new applicant for employment authorization for this position
- Preferred: experience coaching and developing other analysts
- Preferred: experience in Property & Casualty (P&C) insurance
- Preferred: advanced degree (MS, MBA, or similar) in a quantitative or analytical field
- Preferred: hands-on experience with churn or retention modeling and causal inference methods
- Preferred: experience with cloud-based data platforms (BigQuery and/or Snowflake)
- Preferred: experience shaping data governance, metric definitions, or tool selection for an analytics team
- Preferred: experience using AI tools to improve workflow productivity and analytical quality
Benefits
Comp & perks- Personalized development programs
- Mentorship
- Certification assistance
- Competitive pay
- Benefits
- Flexibility to support well-being and future
- Hybrid work arrangement