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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in quantitative analytics, customer segmentation, and cohort analysis to drive customer acquisition and retention strategies. Proficient in leveraging data analysis tools and AI technologies to deliver actionable insights and improve business performance.
Highest-signal resume keywords
Quantitative AnalyticsCustomer SegmentationCohort AnalysisData Analysis ToolsPeople Management
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 AnalysisCustomer Acquisition Cost ModelingLifetime Value AnalysisForecastingScenario PlanningRetention AnalysisA/B TestingDashboard CreationLongitudinal AnalysisSegmentation Framework Development
Soft Skills
Problem SolvingDecision MakingEffective CommunicationInfluencing StakeholdersMentoring
Tools & Technologies
AI ToolsClaudeChatGPT
Industry Keywords
FintechPaymentsBankingLending
About the role
Key responsibilities & impact- Drive analysis on end-to-end acquisition funnel performance from impressions through activation
- Identify high-value customer segments and optimize audience targeting, segmentation, and channel mix
- Build models and analyses for customer acquisition cost, lifetime value, and payback periods
- Support forecasting and scenario planning for acquisition growth
- Analyze the end-to-end customer lifecycle from onboarding through retention
- Identify drivers of activation, adoption, and attrition
- Identify high-value and at-risk customer segments and recommend targeted actions
- Conduct cohort and longitudinal analyses to understand customer trends
- Deliver insights to improve retention, utilization, and frequency of use
- Partner with product and customer teams to identify user-experience friction points and opportunities
- Develop and maintain customer segmentation frameworks
- Partner with marketing and product teams to design and measure A/B tests and experiments
- Create and maintain dashboards and reporting frameworks across the acquisition and customer-management value chain
- Translate complex data into clear, actionable stakeholder insights
- Influence stakeholders and drive clarity on strategies, priorities, and trade-offs
- Build and mentor analysts as the function scales
Requirements
What you’ll need- Bachelor’s degree in Business or quantitative field (Economics, Finance, Math, Physical Sciences, Statistics, Engineering, etc.)
- 5+ years of experience in quantitative analytics
- 2+ years of experience in people management
- Demonstrated ability to problem solve and make decisions based on analysis
- Proven track record of creating and delivering business strategies that enable growth and profitability
- Strong proficiency with data analysis tools and experience working with large datasets
- Experience with cohort analysis and customer segmentation, preferably across the lifecycle from acquisition through retention
- Ability to leverage AI tools (e.g., Claude, ChatGPT) as a force multiplier to improve speed, quality, and impact of work
- Action-oriented and results-focused approach to decision-making and problem solving
- Demonstrated ability to communicate effectively across levels and groups to drive alignment
- Strong experience working cross-functionally with marketing, data, product, risk, and engineering teams
- Preferred: Experience in fintech, payments, banking, or lending
