Jobs
About the Role
The Global Biz Ops team builds and continuously improves the analytical tools and data foundations that help Mobility teams understand the ground truth of our business. As a Global Portfolio Analyst, you'll be a hands-on contributor who helps surface the most important performance signals across our global portfolio and supports senior leaders in making fast, data-backed decisions.
This role is ideal for someone who thrives in fast-moving environments, prefers pragmatic analytical approaches over overly complex models, and enjoys breaking down ambiguous problems using clear, simple, high-rigor methods.
You'll work closely with senior analysts and regional Biz Ops partners to investigate performance trends, validate or challenge assumptions, and help ensure our global view of the business is grounded in high-quality, timely analysis.
What You'll Do
- Analyze global and regional business performance using statistical and visual analytical tools, surfacing key trends, anomalies, risks, and opportunities.
- Support a "management by exception" model by helping identify which performance signals matter most right now and why.
- Conduct deep-dive analyses on priority questions and hypotheses, using pragmatic methods (regressions, time-series, sampling, heuristics) to get to ground truth quickly.
- Build clear, highly curated visualizations and dashboards that simplify complex problems and help senior stakeholders understand what's happening at a glance.
- Partner with regional Biz Ops teams to contextualize findings and ensure analyses are consistent, comparable, and aligned with global narratives.
- Maintain and update a structured view of key assumptions, performance drivers, and "big bold questions" (BBQs) that guide ongoing analytical work.
- Contribute to the evolution of our analytical tooling by identifying gaps, proposing improvements, and sharing insights with the teams building our next-generation data products.
- Develop subject-matter expertise in the economics and dynamics of Uber's Mobility business, using this knowledge to strengthen your analyses and recommendations.
Basic Qualifications
- 2+ years of applied experience in a consulting, business operations, and/or a quantitative, analytical, or research-driven environment.
- Degree in Mathematics, Statistics, Engineering, or a related STEM field OR foundational experience in statistical modeling.
- Hands-on experience with analytical tools such as Python, R, SQL, and data visualization platforms (Tableau, Looker Studio, etc.).
- Ability to explain complex analytical concepts simply and clearly, without losing the core insight.
- Strong problem-solving instincts - able to break down ambiguous questions, test assumptions, and move quickly toward a pragmatic solution.
- Comfortable working in fast-paced, high-ambiguity environments where speed and rigor both matter.
Preferred Qualifications
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Experience in quantitative consulting, high-velocity startups, hedge fund risk/trade support, or other environments where rapid, applied analysis is critical.
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Demonstrated ability to build interactive dashboards or highly curated visualizations that simplify complex datasets.
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Experience analyzing multivariate performance trends or portfolios of assets.
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Examples of applied, real-world problem-solving (pro-bono, research, operational analytics, etc.).
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Familiarity with building or contributing to analytical tooling, models, or frameworks.
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For New York, NY-based roles: The base salary range for this role is USD**$131,000 per year**
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USD**$145,500 per year**.
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For Washington, DC-based roles: The base salary range for this role is USD**$131,000 per year**
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USD**$145,500 per year**.
For all US locations, 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. More details can be found at the following link https://jobs.uber.com/en/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
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.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
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About Uber

Uber
PublicUber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
10,001+
Employees
San Francisco
Headquarters
$120B
Valuation
Reviews
3.7
10 reviews
Work-life balance
3.2
Compensation
4.0
Culture
4.1
Career
3.4
Management
2.8
68%
Recommend to a friend
Pros
Good compensation and pay
Flexible hours and schedule
Great team culture and colleagues
Cons
Long hours and tight deadlines
High pressure and stressful environment
Poor management and lack of support
Salary Ranges
15,354 data points
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Associate Product Manager
0 reports
$153,422
total per year
Base
-
Stock
-
Bonus
-
$130,409
$176,435
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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