About the role

Data Analyst leveraging analytics to drive improvements in talent acquisition at Dropbox. Collaborating with leaders to enhance hiring processes with data-driven insights.

Responsibilities

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.

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.
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.
Demonstrated experience leveraging AI tools in the flow of work. Candidates with a pre-existing comfort level & familiarity using AI to enhance productivity are strongly preferred.