Data Analytics Partner, People Analytics
New
D
DropboxPeople Analytics
Remote - US: Select locationsFull-TimeMiddle
Salary110,200 - 167,700 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonSQLArtificial IntelligenceProduct ManagementMicrosoft ExcelRData analytics
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.
- 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.
- Proven ability to analyze large, complex datasets, synthesize insights quickly, and communicate clear, actionable recommendations.
- Demonstrated experience driving analytics projects end to end.
- Demonstrated experience leveraging AI tools in the flow of work.
- Demonstrated ability to conceptualize employee experience as a product, with proven success applying product management principles to HR initiatives.
- Proficiency in leveraging design thinking methodologies to deeply understand employee needs, rapidly prototype solutions, and implement data-driven iteration cycles.
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.
- Apply product management and design thinking to understand needs, prototype solutions, and drive execution through strong project management and data-driven iteration.
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