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Data Analytics Partner, People Analytics

Dropbox Remote USA Remote USA Full Time Posted Sep 11, 2026

Job Overview

At Dropbox, people are our greatest asset. The People Analytics team partners closely with leaders across the company to help them make better, data-informed decisions about how we identify, attract, develop, and retain top talent.

As Dropbox continues to scale and evolve its Talent Acquisition strategy, we’re looking for a Data Analyst who is passionate about problem-solving and using data to shape how we hire.

Job Description

Success in this role requires strong attention to detail, high standards for data quality, and the ability to communicate findings in ways that drive real decisions.

Create clarity from ambiguity, bringing structure to complex data and stakeholder narratives to identify the underlying question, establish analytical rigor, and drive actionable conclusions.

Monitor and analyze core Talent Acquisition metrics, proactively identifying trends and uncovering the “what” and “why” behind changes in performance.

Key Responsibilities

  • The People Analytics team partners closely with leaders across the company to help them make better, data-informed decisions about how we identify, attract, develop, and retain top talent.
  • In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience.
  • You should have a demonstrated ability to think analytically about the business, translate ambiguous questions into structured analyses, and deliver clear, actionable insights.
  • Responsibilities Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox.
  • Build strong relationships with key stakeholders; lead requirements gathering and translate business questions into clear analyses and insights that inform People and business leader decisions.
  • Answer complex business questions through independent investigation and data forensics, leveraging the data warehouse to deliver timely, high-impact insights.
  • Ability to treat employee experience as a product, applying product management and design thinking to understand needs, prototype solutions, and drive execution through strong project management and data-driven iteration.
  • Collaborative, humble team player who proactively supports teammates and shared goals.

Required Skills and Qualifications

  • In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience.
  • Ability to treat employee experience as a product, applying product management and design thinking to understand needs, prototype solutions, and drive execution through strong project management and data-driven iteration.
  • 3+ years of experience in an HR-focused, stakeholder-facing Data Analytics role, with at least 1 year of experience focusing on Recruiting/Talent Acquisition insights.
  • Fluency in SQL and advanced Excel; experience using statistical or analytical tools such as R or Python.
  • Strong storytelling skills with data, including the ability to select appropriate analytical approaches and visualization techniques for different audiences and decision contexts.
  • Demonstrated experience driving analytics projects end to end, from problem framing and analysis through to execution and impact.
  • Demonstrated experience leveraging AI tools in the flow of work.
  • Demonstrated ability to conceptualize employee experience as a product, with proven success applying product management principles (roadmapping, user journeys, feature prioritization) to HR initiatives Proficiency in leveraging design thinking methodologies to deeply understand employee needs, rapidly prototype experience solutions, and implement data-driven iteration cycles that measurably enhance engagement and retention Preferred Qualifications IO Psychology/assessment background Prior roles in People analytics (vs.

Benefits and Perks

  • You’ll work across quantitative and qualitative data to understand what drives successful hiring outcomes, where bottlenecks exist, and how we can improve efficiency, quality, and equity in our hiring processes.

USA Jobs Today role summary

Role Summary

Data Analytics Partner, People Analytics at Dropbox is a remote United States position and is listed as Full Time.

At Dropbox, people are our greatest asset.

Review the employer's original description and official application page before applying; USA Jobs Today organizes source-supported details for readability without changing stated requirements.

Application Checklist

  • Review the stated qualifications, including: In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience. You should have a demonstrated ability to think analytically about the business, translate ambiguous questions into structured analyses, and deliver clear, actionable insights.
  • Confirm that the official application page still lists the role as open.
  • Verify the work location and any United States eligibility or work-authorization requirements.
  • Tailor your resume to the responsibilities and qualifications stated by Dropbox.
  • Apply only through the official link shown on this page and never pay USA Jobs Today to submit an application.

Original job information is provided by the hiring organization or listed source. USA Jobs Today organizes source-supported details for readability without inventing salary, benefits, qualifications, sponsorship, or remote eligibility.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

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Application Notes

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