Senior Data Analyst
Job Summary
Job Description:
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Product Analytics & Insights
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Analyze User Behavior: Deep-dive into user journeys product funnels and behavioral patterns to uncover friction points and identify growth or retention opportunities.
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Feature & Performance Analysis: Perform advanced analysis on feature adoption conversion funnels and customer segments to directly inform product roadmap decisions.
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Business Problem Solving: Translate complex business and product questions into clear structured analytical plans using SQL and statistical tools.
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Experimentation & Metrics
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A/B Testing: Design execute and analyze A/B and multivariate experiments ensuring statistical rigor and business relevance.
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KPI Ownership: Partner closely with Product Managers to define success metrics build tracking plans and ensure reliable data instrumentation.
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Visualization & Data Governance
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Dashboard Development: Build and maintain scalable dashboards and self-serve data tools using BI platforms (Tableau Looker or Power BI) to democratize insights across the organization.
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Data Integrity & QA: Collaborate with data engineers to validate data pipelines ensuring data accuracy completeness and consistency across platforms.
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Collaboration & Communication
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Data Storytelling: Present findings to cross-functional stakeholders through clear narrative-driven presentations emphasizing actionable recommendations and business impact.
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Cross-Functional Partnership: Act as a bridge between business users IT and data engineering teams.