Senior Data Analyst II, Product

MongoDBAustin, TX
Hybrid

About The Position

The Senior Product Analyst II will play a meaningful role in further developing our rapidly growing Data Analytics function. Partnering with stakeholders across Product Management, Engineering and Analytics teams, as well as with other teams around the business, this role will surface key insights to drive business decision making. This role requires someone with strong analytical and technical 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. We are looking to speak to candidates who are based in Austin, TX for our hybrid working model.

Requirements

  • 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

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

Benefits

  • equity
  • participation in the employee stock purchase program
  • flexible paid time off
  • 20 weeks fully-paid gender-neutral parental leave
  • fertility and adoption assistance
  • 401(k) plan
  • mental health counseling
  • access to transgender-inclusive health insurance coverage
  • health benefits offerings
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