Data Analytics Partner
November 19
Description
• At Dropbox, the People Analytics team is looking for a Data Analyst with a passion for problem-solving and analyzing People data to influence company strategy. • Support analytics projects focused on people-team stakeholders (DEI, HRBP team, Learning & Organizational Development teams). • Understand People-related challenges, collect data and consult with stakeholders to define solutions, tell a story through data visualizations, and present recommendations. • Build relationships with key stakeholders, requirement gathering sessions, and develop insights to help People and Dropbox leaders understand and support our workforce. • Answer business questions through independent investigation and data forensics, leveraging our data warehouse for quick insights. • Ensure our data meets high accuracy and efficiency standards — QA data, standardize definitions and calculations, and build upon data toolkits and trainings for stakeholders. • Assist the dashboard team by building visuals and partnering with IT to enhance our data warehouse. • Utilize statistical techniques to assess the impact of various people strategies on business outcomes. Operate in a high-demand setting by quickly adapting to evolving priorities and ambiguous stakeholder needs. • Proactively work to clarify objectives and deliver flexible, actionable insights that meet changing business requirements.
Requirements
• BA/BS in an analytical major such as Industrial/Organizational Psychology, Physics, Mathematics, Statistics, Computer Science, Engineering or similar. • 5+ years experience in Business Intelligence/Data Analytics in a client-facing and data-driven role, with past exposure to working with HR teams. • Experience and a passion for storytelling with data. Can confidently choose the best visualization style for the given context; the insights from your visualizations speak for themselves. • Ability to efficiently analyze large volumes of data, quickly draw insights, and present concise/clear recommendations of results. • Track record of driving projects from end to end (from building strategy to execution). • Fluent in SQL, advanced Excel, and Python (pandas package) or R. • Ability to think creatively and critically and thrive in a fast-paced, multifaceted, and often ambiguous work environment. • Humble and a team player - you go out of your way to help teammates.
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