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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 statistical modeling to drive product improvements through data-driven insights. Proficient in SQL and Python, with a strong focus on performance measurement and evaluation in financial institutions.
Highest-signal resume keywords
Product AnalyticsSQL ProficiencyPython ProficiencyStatistical ModelingData Science Experience
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 AnalysisKPI TrackingA/B TestingDashboard DevelopmentPerformance Measurement
Soft Skills
Strong CommunicationStakeholder ManagementIndependent WorkPrioritization
Tools & Technologies
Data PlatformsBI/Reporting ToolsAnalytics Infrastructure
Industry Keywords
Financial InstitutionsFintech Analytics
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 statistical modeling
- 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 analytics
- Strong communication and stakeholder management skills with the ability to work across functions
Benefits
Comp & perks- Annual bonus
- Benefits information available through US Careers and Benefits