Data Analytics Partner, People Analytics

Role Description 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. 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’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. You should have a demonstrated ability to think analytically about the business, translate ambiguous questions into structured analyses, and deliver clear, actionable insights. 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. Responsibilities Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox. 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. 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. 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. 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, 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. 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. 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. 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. 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. other analytics) Strong exec presence / verbal presentation skills Durable Skills AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve: Awareness: Understand yourself and others. Judgment: Evaluate information and make decisions in complex situations. Adaptability: Learn, adjust, and stay effective through change. Connection: Communicate, collaborate, and build trust. To learn more about why these skills matter and what the data shows about thriving through change, read this blog post from our Chief People Officer, Melanie Rosenwasser. Compensation Canada Pay Range $104,600—$141,500 CAD

The role involves partnering with Talent Acquisition and business leaders to analyze hiring data and uncover trends that influence workforce planning and recruiting strategy. You will be responsible for building strong stakeholder relationships, ensuring data quality, and translating complex business questions into actionable insights.

Candidates must hold a bachelor's degree in an analytical or quantitative field and possess at least 3 years of experience in an HR-focused data analytics role. Proficiency in SQL, advanced Excel, and experience with statistical tools like R or Python are required, along with a demonstrated ability to drive analytics projects end-to-end.

• Gestion de produitSouhaitée
• Visualisation de donnéesSouhaitée
• SQLSouhaitée
• Microsoft ExcelSouhaitée
• Gestion de projetSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Analytics
• SQL
• Excel
• R
• Python
• Talent Acquisition
• Workforce Planning
• Data Visualization
• Product Management
• Design Thinking
• Statistical Analysis
• Project Management
• AI Tools
• Stakeholder Management
• Data Quality
• Storytelling
• Influencing Skills
• Influencing Without Authority
• Analytical Thinking
• Talent Recruitment
• People Analytics
• Talent Acquisition Strategy
• Recruitment Strategies
• Talent Strategy
• Adaptability
• Artificial Intelligence
• Data Analysis
• Communication
• Creative Thinking
• Data Sharing
• Data Warehousing
• R (Programming Language)
• Leadership
• Problem Solving
• Python (Programming Language)
• Mathematics
• Industrial And Organizational Psychology
• Presentations
• Relationship Building
• Requirements Elicitation
• SQL (Programming Language)
• Statistics
• Verbal Communication Skills
• Prioritization
• Data Science
• Detail Oriented

• Data & Analytics
• Human Resources
• Technology
• People Analytics Analyst
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Formation minimale

Baccalauréat

Expérience minimale

3+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine