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Uber · San Francisco, CA

# Sr TA Data Analyst

San Francisco, CA, United States Full-time Senior individual contributor $131,000 per year Data & Analytics 

Listed on Uber’s official careers site. Posted September 17, 2026. Check that it is still open and apply there.
[Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/302132)

[OpenNash Jobs](https://jobs.opennash.com/) / [Uber](https://jobs.opennash.com/companies/uber/) / Sr TA Data Analyst

## Job description

### ABOUT THE ROLE

The Talent Acquisition (TA) Analytics team’s goal is to transform recruiting from a reactive function into a proactive, predictive powerhouse. A successful candidate is a strategic thinker who is flexible with shifting project priorities and thrives in a fast-paced environment. You demonstrate the confidence to tackle complex, ambiguous problems and the ability to partner effectively with a wide variety of stakeholders.

We seek a highly motivated, energetic self-starter to work directly with TA leadership. Your mission is to ensure they have the data, predictive models, and insights necessary to make informed decisions—often guiding them toward what they need to know, rather than just what they are asking for. You will proactively identify opportunities to enhance data quality, evaluate new recruiting technologies, and unlock insights that shape how we build our teams.

### RESPONSIBILITIES

Predictive Analytics & Modeling: Utilize Python or R to build predictive models that forecast pipeline health, candidate conversion, time-to-fill, and long-term candidate quality.

### AI & Tool Evaluation

Act as the analytical gatekeeper for our recruiting tech stack. Evaluate the ROI, efficacy, and potential bias of new AI tools and automated recruiting workflows.

### Strategic Metric Definition

Drive the analytics strategy for modern TA disciplines. Define and track complex metrics such as Quality of Hire (QoH), skills-based hiring efficacy, and internal talent mobility.

### Analytics Engineering & Modeling

Perform robust data modeling, transforming raw system data into structured models for visualization. Consult directly with data warehouse engineers to improve system integrations and data pipelines.

### Data Visualization Strategy

Lead our visualization and reporting ecosystem. Design intuitive dashboards from scratch and apply advanced design tactics across various BI tools, shifting stakeholders from looking at descriptive data (what happened) to prescriptive insights (what to do next).

### Ad-Hoc Consulting

Support complex, ad-hoc analytics requests from partners within TA and the broader People Organization.

### REQUIREMENTS

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 and exposure to modern data stores/querying frameworks (MySQL, BigQuery). Proficiency with analytics engineering workflows and version control platforms (Dataform, dbt, GitHub).

Strong proficiency with enterprise data visualization tools (e.g. Looker, Power BI, Tableau) and a deep understanding of dashboard design, visualization strategy, and data storytelling tactics.

### PREFERRED QUALIFICATIONS

Cross-Industry Perspective: Proven ability to dive into new data domains and learn them quickly.

### Note

Prior HR or TA analytics experience is not required; candidates bringing analytical best practices from outside the People space are highly encouraged to apply. Experience auditing AI/machine learning tools for fairness/bias or assessing software vendor ROI. Familiarity with Google Cloud Platform (GCP).

### Exceptional data storytelling skills

the ability to convey complex technical or statistical concepts to non-technical business leaders clearly and persuasively. Excellent troubleshooting and problem-solving abilities with a tenacious commitment to finding the root cause of data discrepancies. Comfortable taking absolute ownership of projects from requirements gathering to final deployment.

## Responsibilities

### For San Francisco, CA-based roles

The base salary range for this role is USD $131,000 per year - USD $145,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

## At a glance
- Posted by the employer: Sep 17, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 32 days
- Location: San Francisco, CA, United States
- Employment type: Full-time
- Pay: $131,000 per year[Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/302132)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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