Data Analytics Partner, People Analytics

Posted 11hrs ago

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Job Description

People Analytics Data Analyst helping Dropbox improve hiring through workforce insights. Analyzing Talent Acquisition metrics, data quality, and employee experiences to guide recruiting decisions.

Responsibilities:

  • Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox
  • Create clarity from ambiguity by structuring complex data and stakeholder narratives, establishing analytical rigor, and driving actionable conclusions
  • Monitor and analyze core Talent Acquisition metrics, identifying trends and uncovering the “what” and “why” behind performance changes
  • Build stakeholder relationships, lead requirements gathering, and translate business questions into analyses and insights for People and business leaders
  • Answer complex business questions through independent investigation and data forensics using the data warehouse
  • Validate data, standardize definitions and calculations, and contribute to shared data toolkits and enablement materials
  • Treat employee experience as a product by applying product management and design thinking, prototyping solutions, and driving execution through project management and data-driven iteration

Requirements:

  • BA/BS in an analytical or quantitative field such as Industrial/Organizational Psychology, Mathematics, Statistics, Data Science, Engineering, or a related discipline
  • 3+ years of experience in an HR-focused, stakeholder-facing Data Analytics role, including at least 1 year focused on Recruiting/Talent Acquisition insights
  • Fluency in SQL and advanced Excel; experience with statistical or analytical tools such as R or Python
  • Strong data storytelling skills, including selecting analytical approaches and visualization techniques for different audiences and decision contexts
  • Proven ability to analyze large, complex datasets, synthesize insights quickly, and communicate actionable recommendations
  • Experience driving analytics projects end to end, from problem framing and analysis through execution and impact
  • Demonstrated experience leveraging AI tools in the flow of work
  • Ability to think creatively and critically and thrive in a fast-paced, multifaceted, ambiguous environment
  • Collaborative team-player mindset with proactive support for teammates and shared goals
  • Experience conceptualizing employee experience as a product and applying product management principles such as roadmapping, user journeys, and feature prioritization to HR initiatives
  • Proficiency in design thinking methodologies, rapid prototyping, and data-driven iteration to enhance engagement and retention