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.
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.
About UsReady to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Skills Required
- Bachelor’s or master’s degree in Engineering, Computer Science, Mathematics, Economics, Statistics, or another highly quantitative discipline.
- At least 3 years of 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 MySQL, BigQuery, or modern data stores and querying frameworks.
- Proficiency with analytics engineering workflows and version control platforms, including Dataform, dbt, and GitHub.
- Strong proficiency with enterprise data visualization tools such as Looker, Power BI, or Tableau.
- Deep understanding of dashboard design, visualization strategy, and data storytelling.
- Ability to learn new data domains quickly and apply analytical best practices across industries.
- Experience auditing AI or machine learning tools for fairness and bias, or assessing software vendor ROI.
- Familiarity with Google Cloud Platform.
- Exceptional ability to communicate complex technical or statistical concepts clearly to nontechnical business leaders.
- Excellent troubleshooting and problem-solving abilities, including resolving data discrepancies and identifying root causes.
- Ability to own projects from requirements gathering through final deployment.
Uber Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.
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Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
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Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
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Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.
Uber Insights
What We Do
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.
Why Work With Us
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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