Senior Data Analyst

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

• 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

• 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

• Remote in the US region or based out of NYC office