Uber
Sr TA Data Analyst
$131K–$145K
San Francisco, California · Senior · Full-time · Posted Sep 17, 2026
- Experience
- Minimum 3 years in data analysis, data science, analytics engineering, or similar technical roles.
- Education
- BS/MS in Engineering, Computer Science, Math, Economics, Statistics, or another highly quantitative discipline.
About the job
Builds predictive analytics, metrics, data models, and dashboards to help Talent Acquisition leaders make recruiting decisions and evaluate recruiting technologies.
What you'll do
- Build predictive models for recruiting pipeline health, candidate conversion, time-to-fill, and candidate quality; evaluate AI tools and automated workflows for ROI, efficacy, and bias.
- Define and track Talent Acquisition metrics, and model recruiting data in partnership with data warehouse engineers.
- Lead dashboards and reporting, deliver prescriptive insights, and support ad-hoc analytics requests across Talent Acquisition and the People Organization.
What they ask for
- BS/MS in Engineering, Computer Science, Math, Economics, Statistics, or another highly quantitative discipline.
- Minimum 3 years of work experience in data analysis, data science, analytics engineering, or similar technical roles.
- Proficiency in data manipulation and statistical modeling using Python or R; advanced SQL skills.
- Proficiency with analytics engineering workflows and version control platforms; strong proficiency with enterprise data visualization tools and dashboard design.
Nice to have
- Experience auditing AI/machine learning tools for fairness/bias or assessing software vendor ROI.
- Familiarity with Google Cloud Platform (GCP).
Pay
USD $131,000 per year - USD $145,000 per year (base salary)
Tools
Python, R, SQL, MySQL, BigQuery, Dataform, dbt, GitHub
AI focus
Build predictive recruiting models and evaluate AI tools and automated recruiting workflows for ROI, efficacy, and potential bias.
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