Senior Data Analyst

MongoDB is a developer data platform and database software company. The company is seeking a Senior Data Analyst to support data-driven, people-focused decision-making by transforming HR and organizational data into actionable insights. The role partners with People teams, develops analyses and dashboards, manages people data infrastructure and governance, and communicates findings to non-technical 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:

• This position requires someone with strong analytical and technical skills, the ability to tell a story with data, and who is comfortable working across multiple functional areas in a fast-paced, challenging environment
• 3+ years of hands-on analytics experience
• 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
• 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
• focus on people/HR analytics preferred
• 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
• Exposure to Modern Cloud Data Warehouses preferred