Dropbox

Dropbox is the one place to keep life organized and keep work moving.

People Team Data Analyst, Talent Acquisition

Data AnalystData AnalystFull TimeRemoteTeam 1,001-5,000Since 2007H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

54 days ago

Salary

$110.2K - $167.7K / year

Bachelor Degree3 yrs expEnglishPythonSQL

Job Description

• Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox. • Monitor and analyze core Talent Acquisition metrics, proactively identifying trends and uncovering the “what” and “why” behind changes in performance. • 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. • Uphold high standards for data quality and consistency by validating data, standardizing definitions and calculations, and contributing to shared data toolkits and enablement materials. • Contribute to TA reporting and dashboards by building visualizations and partnering with IT and analytics peers to enhance data models and warehouse capabilities.

Job Requirements

  • BA/BS in an analytical or quantitative field such as Industrial/Organizational Psychology, Mathematics, Statistics, Computer Science, Engineering, or a related discipline.
  • 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.
  • Strong storytelling skills with data, including the ability to select appropriate analytical approaches and visualization techniques for different audiences and decision contexts.
  • Proven ability to analyze large, complex datasets, synthesize insights quickly, and communicate clear, actionable recommendations.
  • Demonstrated experience driving analytics projects end to end, from problem framing and analysis through to execution and impact.
  • Fluency in SQL and advanced Excel; experience using statistical or analytical tools such as R or Python.
  • Ability to think creatively and critically and thrive in a fast-paced, multifaceted, and often ambiguous environment.
  • Collaborative, humble team player who proactively supports teammates and shared goals.

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