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MongoDBMongoDBUnited States

Senior Data Analyst

Senior Data Analyst partnering with People/HR teams to transform organizational data into actionable insights. Conduct deep-dive analyses on engagement, retention and productivity; build dashboards and data repositories; requires advanced SQL, Python/R, and Tableau.

83k – 162k
Remote3+ YOEData Analytics

About the role

Responsibilities

  • Partner with People teams (business partners, recruiting, culture/talent/development, etc.) to understand their questions, turn analyses into actionable data-driven insights, and make business recommendations
  • Help develop and execute against roadmap for people data investments to both capture near-term value and set up the team for long-term success
  • Leverage understanding of statistics to conduct analyses that help People teams make quicker, more informed decisions
  • Write and maintain complex queries to conduct deep-dive analyses on the impact that People initiatives have on employee engagement, productivity and retention
  • Liaise with Data Engineering and HRIS teams to create and manage a curated central repository for people data
  • Design and build automated dashboards to empower stakeholders to self-serve their data and analytical needs
  • Prioritize and triage analytical and reporting asks from across the People team
  • Develop and support ongoing data governance and data quality processes
  • Effectively communicate analytical findings to non-technical audiences

Requirements

  • 3+ years of hands-on analytics experience (focus on people/HR analytics preferred)
  • Advanced SQL skills, comfortable manipulating very large datasets
  • Proficient in Python or R with a strong focus on data wrangling and data analysis
  • Extensive experience with Tableau or another leading visualization tool is required
  • Experience analyzing complex people data (e.g. headcount, attrition, recruiting metrics, compensation data) strongly preferred but not required
  • Experience in survey design and analysis preferred
  • Familiarity with data architecture fundamentals and data warehousing
  • Proficiency with data modeling and data quality best practices
  • Demonstrated ability to effectively communicate and set priorities with key stakeholders at all levels of the organization
  • Highly collaborative and organized, with a strong attention to detail
  • Comfort with ambiguity and ability to work in a self-guided manner
  • Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment
  • Exposure to Modern Cloud Data Warehouses preferred

Skills

SQLPythonRTableauData WranglingData AnalysisData ModelingData GovernanceData QualityStatisticsHr AnalyticsData Warehousing

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