At Uber, People Analytics empowers leaders and employees to make evidence-based decisions by unlocking the value of people data to drive both business and people outcomes
Requirements
- Master's or PhD in a quantitative social science field (e.g., Industrial/Organizational Psychology, Educational Psychology, Organizational Behavior, Behavioral Economics)
- Strong background in survey design, psychometrics, and people data analysis
- Experience with organizational network analysis (ONA) a plus
- Familiarity with I/O psychology and broader people analytics topics
- Ability to translate business needs into research solutions and communicate insights clearly
- Skilled at managing complex, imperfect, and unstructured people data
- Strong project planning and management skills
Responsibilities
- Design reliable and valid measurement tools to enhance employee listening
- Partner with stakeholders on survey design, methodology, and data interpretation
- Analyze both active listening (surveys) and passive listening (e.g., organizational network analytics) data to uncover insights on employee motivation, behavior, and experience
- Translate complex business problems into data-driven research initiatives with measurable outcomes
- Integrate, clean, and analyze people data from multiple sources, applying behavioral science to guide evidence-based decisions
- Communicate findings and recommendations to both technical and non-technical audiences to inform key business decisions
- Support the planning, execution, and stakeholder engagement of the survey program
Other
- Master's or PhD in a quantitative social science field
- 3+ years of industry experience in People Analytics, consulting, or survey/employee research
- Comfortable with ambiguity, adaptable in fast-paced environments, and innovative in solving complex problems
- Demonstrated ownership and ability to lead projects end-to-end
- Ability to communicate findings and recommendations to both technical and non-technical audiences
