Description

RESPONSIBILITIES

  • Lead high-impact, end-to-end analytics projects that inform key product strategies, from experiment design through post-launch analysis.
  • Partner cross-functionally with stakeholders to align on priorities and translate questions into analytical frameworks.
  • Partner with Product Management, Engineering, Data Science, and Functional teams to gather, manipulate, analyze, and document raw, complex data and share cohesive data stories that make sense to business and technical audiences.
  • Deliver clear, data-driven insights that influence decision-making across the organization.
  • Design and maintain dashboards, experiment reports, and datasets that empower product teams to self-serve and track performance.
  • Identify data quality issues and help resolve inconsistencies across source systems and instrumentation.
  • Design and analyze A/B tests with statistical rigor, including proper sample sizing, significance testing, and result interpretation.
  • Develop analytics plans for new features, defining success metrics, required instrumentation, and measurement approaches in partnership with Product Managers.
  • Respond to ad hoc analytical requests with accuracy, efficiency, and business context. 
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