Role DescriptionAt 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. - 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. 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. - 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 - 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. Preferred Qualifications - Additional technical skills (Tableau, R, Python) - Strong executive presence / verbal presentation skills CompensationUS Zone 1 This role is not available in Zone 1 US Zone 2 $123,900—$167,700 USD US Zone 3 $110,200—$149,000 USD

Role DescriptionAt 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. - 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. 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. - 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 - 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. Preferred Qualifications - Additional technical skills (Tableau, R, Python) - Strong executive presence / verbal presentation skills CompensationCanada Pay Range $104,600—$141,500 CAD

• Lead and mentor the Data Analytics team by overseeing day-to-day activities, setting goals, and performing reviews; • Interface with the Senior Management Team and other senior leadership to identify innovative uses of data and help drive BI and analytics strategy; • Guide the design and implementation of successful data solutions through the effective use of business intelligence tools; • Work with the Business, Product, and Engineering teams to determine metrics, reports, and analytics needed for the business; • Design, architect, implement, and support key datasets that provide structured and timely access to actionable business information with the needs of the end user always in view; • Retrieve and analyse data using SQL, and other data management & BI systems; • Develop queries for ad-hoc requests and projects, as well as ongoing reporting; • Monitor existing metrics and analyse data, answer key business questions in a data-driven way; • Review Data Analytics related processes and documentation for continuous improvement; • Work with the latest AWS cloud technologies;

• In our twelve-month training program you'll learn practical, application-oriented skills in the following areas: data analysis with SQL, Python and Power BI, creating interactive dashboards, fundamentals of AI, and agile project management. • Live instruction: Online training in a virtual classroom with experienced professors, data analysts, and AI experts.