Staff Talent & People Analyst

Quince

New York (NY)

On-site

USD 90,000 - 130,000

Full time

9 days ago
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Job summary

Quince is seeking a Talent and People Analyst to join our People Analytics team. You will partner with Talent Acquisition to translate recruitment questions into analyses, build dashboards, and ensure data accuracy for hiring decisions.

You will own data requests, model recruiting data, perform QA, and collaborate with data engineers to support capacity planning and workforce modeling, establishing consistent metric definitions.

Qualifications

  • 3–5 years of analytics or people analytics experience.
  • Experience translating business questions into analyses and dashboards.
  • Strong SQL proficiency and ability to work with relational datasets.
  • Advanced Excel/Google Sheets skills for complex modeling.
  • Experience with recruiting or ATS data (e.g., Greenhouse, Lever).
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Translate recruiting questions into analyses and dashboards.
  • Build, maintain, and iterate on dashboards and recurring reports.
  • Partner with Talent Operations, People Leadership, and Data Engineering to ensure data accuracy and modeling quality.
  • Define requirements for recruiting data models and reporting tables.
  • Validate data accuracy and perform QA on datasets and dashboards.
  • Support capacity planning, hiring prioritization, and workforce modeling.
  • Ensure consistency in metric definitions and reporting logic across dashboards.

Skills

SQL
Excel/Google Sheets
Data analysis
Communication
Problem solving
Cross-functional collaboration

Tools

Tableau
Looker
Power BI
Python

Job description

  • We are seeking a Talent and People Analyst to join our People Analytics team. This role serves as the primary analytical partner for People and Talent Acquisition, providing data-driven insights that inform people and hiring strategy, workforce planning, and operational decision-making
  • In this role, you will translate recruiting questions into clear analyses, build and maintain dashboards, and partner closely with Talent Operations, People Leadership, and Data Engineering to ensure recruiting data is accurate, well-modeled, and decision-ready
  • Act as the go-to analyst for all Talent and People-related data requests, including funnel performance, time-to-fill, offer acceptance, and recruiter capacity
  • Build, maintain, and iterate on dashboards and recurring reporting used by Talent and People teams and business leaders
  • Translate ambiguous or ad-hoc business questions into structured analyses with clear assumptions and methodology
  • Partner with the Data Engineer to define requirements for recruiting data models and reporting tables
  • Validate data accuracy and perform QA on datasets and dashboards
  • Support Talent Operations on capacity planning, hiring prioritization, and workforce modeling
  • Contribute to bespoke Talent and People projects that require analytical support, insight generation, or scenario analysis
  • Ensure consistency in metric definitions and reporting logic across dashboards and analyses
  • Comfort operating in a fast-paced, evolving environment with shifting priorities
  • Experience using BI tools such as Tableau, Looker, Power BI, or similar
  • Familiarity with data modeling concepts (e.g., fact vs. dimension tables, star schema)
  • Strong SQL proficiency and comfort working with relational datasets
  • Advanced Excel / Google Sheets proficiency (complex formulas, pivots, modeling)
  • Strong analytical and problem-solving skills, with the ability to structure and answer open-ended questions
  • 3-5 years of experience in analytics, talent analytics, people analytics, or a related function
  • Strong communication skills and ability to partner effectively with cross-functional stakeholders
  • Experience working with recruiting or ATS data (e.g., Greenhouse, Lever)
  • Python proficiency for analysis or automation
  • Exposure to workforce planning, recruiter capacity modeling, or hiring efficiency analysis
  • Experience partnering closely with data engineering teams
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