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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product analytics, data science, and performance measurement, with a strong ability to analyze customer behavior and translate insights into actionable product improvements. Proficient in SQL and Python, with experience in developing evaluation frameworks and supporting analytics infrastructure.
Highest-signal resume keywords
Product AnalyticsSQL ProficiencyPython ProficiencyData Performance MeasurementStakeholder 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 ScienceProduct AnalyticsKPI TrackingA/B TestingHypothesis TestingData AnalysisDashboard DevelopmentReportingFeature Adoption AnalysisUser Intent Alignment
Soft Skills
Strong CommunicationIndependent WorkPrioritizationCollaboration
Tools & Technologies
Data PlatformsBI/Reporting ToolsAnalytics Infrastructure
Industry Keywords
Financial InstitutionsFintechProduct Lifecycle
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Design and execute evaluation frameworks to assess product quality, accuracy, and user intent alignment
- Define, track, and analyze KPIs and success metrics across the product lifecycle
- Perform product analytics to understand customer behavior, product usage, and performance
- Identify data, tracking, and instrumentation gaps and improve measurement capabilities
- Develop and support A/B testing and experimentation to evaluate product strategies
- Support data pipelines, reporting, and analytics infrastructure
- Analyze feature adoption, engagement, retention, and product performance trends
- Develop dashboards, reporting, and analytical insights to support product decision-making
- Partner with Product, Engineering, Data Science, and Business teams to translate insights into actionable product improvements
Requirements
What you’ll need- Bachelor’s degree or higher in Engineering, Data Science, Statistics, Computer Science, or a related field
- 7+ years of relevant experience in Data Science, Product Analytics, or related disciplines
- Proficiency in SQL and Python with experience working with large-scale products or event-based datasets
- Experience with data platforms, BI/reporting, and hypothesis testing
- Strong understanding of product performance measurement and evaluation
- Ability to work independently, identify information gaps, and prioritize high-impact initiatives
- Experience working with financial institutions such as banks or fintech companies in analytics
- Strong communication and stakeholder management skills with the ability to work across functions
Benefits
Comp & perks- Bonus
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