Senior Data Analyst
MongoDB
full-remoteseniorpermanentdata Full remote - New-York, US 73 days ago via WTTJ
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SQLPythonRTableauHR AnalyticsPeople AnalyticsData WranglingData ModelingData QualityData Visualization
About the role
Role overview
Join MongoDB as a Senior Data Analyst to turn HR and organizational data into actionable insights. You’ll partner with the People (HR) team to run deep-dive analyses, maintain a central people data repository, and deliver automated dashboards that enable stakeholder self-service.
Responsibilities
- Collaborate with the People team to transform HR and organizational data into data-driven recommendations
- Develop and execute a roadmap for people data investments, capturing near-term value and enabling long-term team success
- Design and build automated dashboards for self-serve reporting and analytics
- Manage a central repository for people data and support analytics priorities across stakeholders
Requirements
- 3+ years of hands-on analytics experience, preferably in people/HR analytics
- Strong analytical and technical skills; ability to tell a story with data
- Advanced SQL skills for working with very large datasets
- Proficiency in Python or R, with emphasis on data wrangling and analysis
- Tableau (or another leading visualization tool) experience required
- Strong data modeling and data quality best practices
- Ability to work comfortably in ambiguous, fast-paced environments; self-guided execution
- Clear communication and priority-setting with stakeholders at all levels
Nice-to-haves
- Experience with survey design and analysis
- Exposure to modern cloud data warehouses
- Experience analyzing complex people metrics (e.g., headcount, attrition, recruiting metrics, compensation)
- Familiarity with data architecture fundamentals and data warehousing
About MongoDB
MongoDB is a software company best known for its document database and modern data platform. The company helps organizations build and run data-driven applications using scalable database and cloud services. It operates in the data management and cloud technology industry.
Scraped 5/13/2026