Senior Data Analyst

MongoDB is a developer data platform company transforming industries through database and data management software. The company is seeking a Senior Data Analyst to partner with People teams, transform HR and organizational data into actionable insights, and support workforce decision-making. The role focuses on statistical analysis, data repositories, dashboards, governance, and communicating findings to stakeholders.

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