Staff Talent & People Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Serve as the primary analyst for all data inquiries related to Talent and People, covering aspects such as funnel performance, time-to-fill, offer acceptance, and recruiter capacity.

• Develop, manage, and enhance dashboards and regular reports utilized by the Talent and People teams as well as business leaders.

• Convert vague or ad-hoc business inquiries into structured analyses with defined assumptions and methodologies.

• Collaborate with the Data Engineer to establish requirements for recruiting data models and reporting tables.

• Ensure data accuracy and conduct quality assurance on datasets and dashboards.

• Assist Talent Operations with capacity planning, hiring prioritization, and workforce modeling.

• Contribute to specialized Talent and People projects that require analytical assistance, insight generation, or scenario analysis.

• Maintain consistency in metric definitions and reporting logic across all dashboards and analyses.

• Deliver data-driven insights that guide people and hiring strategy, workforce planning, and operational decisions.

• Collaborate with Talent Operations, People Leadership, and Data Engineering to ensure that recruiting data is accurate, well-structured, and ready for decision-making.

⛳️ Requirements

• 3-5 years of experience in analytics, talent analytics, people analytics, or a similar field.

• Excellent analytical and problem-solving capabilities, with the ability to structure and resolve open-ended questions.

• Proficient in advanced Excel / Google Sheets (including complex formulas, pivots, and modeling).

• Strong SQL skills and comfort with relational datasets.

• Knowledge of data modeling concepts (e.g., fact vs. dimension tables, star schema).

• Experience with BI tools such as Tableau, Looker, Power BI, or comparable platforms.

• Exceptional communication skills and the ability to collaborate effectively with cross-functional stakeholders.

• Comfortable working in a fast-paced, dynamic environment with shifting priorities.

• Preferred: Experience with recruiting or ATS data (e.g., Greenhouse, Lever).

• Preferred: Proficiency in Python for analysis or automation tasks.

• Preferred: Background in workforce planning, recruiter capacity modeling, or hiring efficiency analysis.

• Preferred: Experience working closely with data engineering teams.

• Successful completion of a background check is required.

🏝️ Benefits

• Bonus and equity options may be available for qualifying positions.

• Reasonable accommodations are provided for qualified individuals with disabilities.

• Commitment to equal employment opportunities.

• A sustainable, mission-driven work environment.