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Senior Data Analyst II, Product

Analyzes product usage and performance across the MongoDB customer lifecycle to identify pain points and provide actionable insights. Partners with product, engineering, and analytics teams to define KPIs, conduct deep dives, and drive executive decisions. Requires 5+ years analytics experience, advanced SQL, and Python/R proficiency.

97k – 189kAustin, TXData AnalyticsHybrid5+ YOE

About the role

Responsibilities

  • Develop a deep understanding of what types of features and products customers are using across different stages of their MongoDB lifecycle, find pain points, and conduct deep-dives to provide actionable recommendations that improve the customer experience
  • Define KPIs and diagnostic metrics that help improve the user experience
  • Surface insights to drive executive decision making across the business
  • Create measurement frameworks to measure the success of each product
  • Conduct deep dive analysis to assess product performance and health
  • Serve as an analytical and technical thought partner to stakeholders across the product, analytics, data science teams
  • Make the team more efficient: Research and implement new tooling/processes; seek out and automate existing costly manual processes

Skills & attributes

  • 5+ years of hands-on analytics experience with for product and / or growth teams, ideally at a software company
  • Advanced SQL skills and proficiency with either Python or R
  • Deep understanding of SaaS products and demonstrated success of partnering with product teams to conduct a wide range of experiments
  • Demonstrated ability to effectively communicate and set priorities with a variety of key stakeholders at all levels of the organization
  • Effective at communicating technical concepts to non-technical audiences
  • Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment

Skills

SQLPythonRSaas AnalyticsKPIsProduct Analytics

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