Senior Analyst, People Analytics

4 weeks ago

Gurugram, India MongoDB Full time

MongoDB is seeking a People Analytics Analyst to support data-driven, people-focused decision making for the company. Partnering with our People team, you will transform HR and organizational data into actionable insights to help us hire the right talent, manage our overall workforce, and improve workforce effectiveness, leading to better outcomes for our people and the company.

This position requires a driven self-starter who is able to communicate clearly and effectively and successfully juggle multiple priorities. You take tasks from start to finish, are able to deliver value quickly, and enjoy working in a dynamic and fast-paced environment.

Responsibilities

Partner with People teams (recruiting, L&D, People Ops, etc.) to understand their questions, turn analyses into actionable data-driven insights, and make business recommendationsHelp develop and execute against roadmap for people data investments to both capture near-term value and set up the team for long-term successLiaise with Data Architecture, Data Engineering, and HRIS teams to create and manage a curated central repository for people dataDesign and build automated dashboards to empower stakeholders to self-serve their data and analytical needsPrioritize and triage analytical and reporting asks from across the People teamDevelop and support ongoing data governance and data quality processesEffectively communicate analytical findings to non-technical audiences

Requirements

5+ years of experience in a data analyst or similar role (focus on people/HR analytics preferred)Strong Excel and SQL skills and proficiency with either Python or R requiredExperience creating automated dashboards designed for user self-service, ideally in Tableau Familiarity with data architecture fundamentals and data warehousingExperience analyzing complex people data (e.g. headcount, attrition, recruiting metrics, diversity metrics) strongly preferred but not requiredProficiency with data modeling and data quality best practicesStrong communication skills and ability to effectively interact with internal business partners at all levels of the organizationHighly collaborative and organized, with a strong attention to detail and ability to identify potential data discrepancies and root causesComfort with ambiguity and ability to work in a self-guided manner

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