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Product Insights Statistician

2 months ago

Seattle, Washington, United States MongoDB Full time
About the Role

This is a unique opportunity to join a dynamic team and contribute to the growth and success of a leading technology company, MongoDB.

We are seeking a highly skilled Staff Product Insights Analyst to operate similar to a Statistician, playing a meaningful role in helping create clarity around our product usage trends.

This role requires someone with strong analytical, technical, and statistical skills, and who is comfortable partnering with stakeholders at all levels of the organization and across multiple functional areas in a fast-paced, challenging environment.

Key Responsibilities
  • Develop a Deep Understanding of Product Usage Trends
    • 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 construct sophisticated statistical models to provide actionable recommendations that improve the customer experience.
  • Broaden Attribution Insights
    • Broaden our view into attribution by product feature via causal inference models, better identifying health (regression detection, connection storms).
  • Surface Insights for Executive Decision Making
    • Surface insights to drive executive decision making across the business, and help define cross-functional concepts like customer journey usage phases.
  • Create Measurement Frameworks
    • Create measurement frameworks to measure the success of each product.
  • Conduct Deep Dive Analysis
    • Conduct deep dive analysis to assess product performance and health.
  • Partner with Stakeholders
    • Serve as an analytical and technical thought partner to stakeholders across the product, analytics, and data science teams.
Key Skills and Attributes
  • Hands-on Analytics Experience
    • 6+ years of hands-on analytics experience with product and/or growth teams, ideally at a software company.
  • Statistical Modeling and Causal Inference
    • Experience developing statistical models, causal inference, and supporting experimentation efforts.
  • Advanced SQL and Programming Skills
    • Advanced knowledge of statistical methods, techniques, formulas, and tests, experience developing causal and statistical inference models.
    • Advanced SQL skills and proficiency with either Python or R.
  • Deep Understanding of SaaS Products
    • Deep understanding of SaaS products and demonstrated success of partnering with product teams to conduct a wide range of experiments.
  • Effective Communication
    • 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.
  • Collaborative Work Environment
    • Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment.
About MongoDB

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.

We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI.

Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.

Atlas allows customers to build anywhere-on the edge, on premises, or across cloud providers.