About the role and team
We are seeking a highly motivated and skilled Data Analyst to join the Mobility Customer Experience Analytics team and become a key player in shaping the future of our business! In this high-impact role, you will apply your strategic and analytical prowess to drive data-driven decisions across critical elements of our mobility ecosystem, with a specific focus on growth bets, new product launches, and airports and venues. You will leverage our broad suite of ETL and data automation tools to build lasting data infrastructure while nimbly finding immediate insights that improve the business. This is an opportunity to define our analytical priorities and own the North Star metrics that measure the success of our growth bets and new product launches.
You will be at the forefront of shaping our customer support experience design and tracking its impact across both traditional and cutting-edge GenAI-powered support channels. By designing deep-dive analyses, unearthing invaluable insights, and collaborating cross-functionally, you will uncover opportunities to streamline our user-facing support experience and enhance the tech we use to deliver it, ultimately driving groundbreaking solutions and significant impact for both the business and our users.
What you’ll do
- Own North Star metrics and targets to measure and deliver against the Mobility Customer Experience strategy.
- Perform deep-dive analysis and drive business decisions by developing testable hypotheses and designing experiments that clearly quantify the impact of new product launches, growth bets, and airport/venue operations through rigorous ROI analysis.
- Evaluate and shape customer support design, establishing rigorous impact tracking across both traditional support workflows and GenAI-powered support experiences.
- Translate ambiguous questions into data-driven recommendations that identify opportunities to streamline the user-facing support experience and advocate for customer-first changes to our products, app features, and support policies.
- Create and manage intuitive, self-service data products, dashboards, and reporting frameworks to empower non-technical users, business leaders, and cross-functional partners.
- Develop an in-depth understanding of business performance and build compelling, executive-level communications to share strategic insights and influence senior leadership across the Mobility ecosystem.
- Collaborate cross-functionally with Product, Operations, and Finance teams to implement data-backed recommendations, execute root-cause analyses, and drive operational efficiency.
- Write complex SQL queries and leverage data modeling to extract, manipulate, and transform raw data into stable, "single source of truth" architectures.
- Use Python and modern LLM-powered coding tools for data transformation, automation, and model development, deepening the team’s ability to rapidly draw actionable insights from complex datasets.
- Potentially lead junior analysts and play a leadership role in developing, standardizing, and elevating the team's analytical tools, frameworks, and processes.
Basic Qualifications
- Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, Data Analytics, or a related field
- 3+ years of experience in analytics, business intelligence, data engineering, or a within a similar role
- Proficiency in programming languages such as Python, R, and SQL with proven ability to write and understand complex queries
Preferred Qualifications
- Demonstrated experience using LLM-based coding and analytics tools to drive business outcomes
- Advanced SQL skills.
- High technical proficiency in common analytics & reporting tools (e.g., Tableau, Google Data Studio, Google Sheets/Excel).
- Skill in building intuitive, self-service tools (e.g., Tableau, Looker, Streamlit) for non-technical users and business leaders.
- Experience in Python
- Experience working with customer support or customer insights.
- Advanced data analysis skills leading to actionable recommendations.
- Experience in leading high-visibility projects and influencing others in a cross-functional team environment
- Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences
- Strong sense of ownership and accountability
- Curious, self-directed, and impact-driven—you chase high-impact problems to deliver solutions.
- Comfortable with ambiguity and switching contexts in a fast-moving environment
- Experience in communicating with and presenting to senior leaders.
- Strong storytelling ability: Distilling exciting and hard-to-find insights into a compelling, concise data story.
- Comfort in working with ambiguity in a fast-paced environment
- Experience in data extraction, wrangling, and building pipelines.
- Strong analytical and problem-solving mindset
- Highly self-motivated, proactive, and able to drive projects independently.
- Excellent communication and interpersonal skills.
- Detail-oriented mindset, with a focus on accuracy, efficiency, and process standardization.
For New York City, NY-based roles: The base salary range for this role is USD $135,000 per year - USD $150,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $135,000 per year - USD $150,000 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.
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 degree in Mathematics, Statistics, Computer Science, Economics, Data Analytics, or a related field
- 3+ years of experience in analytics, business intelligence, data engineering, or a similar role
- Proficiency in Python, R, and SQL, including the ability to write and understand complex queries
- Experience using LLM-based coding and analytics tools
- Advanced SQL skills
- Proficiency with analytics and reporting tools such as Tableau, Google Data Studio, Google Sheets, or Excel
- Experience building self-service tools with Tableau, Looker, or Streamlit
- Experience working with customer support or customer insights
- Advanced data analysis skills leading to actionable recommendations
- Experience leading high-visibility projects and influencing cross-functional teams
- Excellent communication skills for presenting complex insights to technical and non-technical audiences
- Experience presenting to senior leaders
- Strong storytelling ability and skill in distilling insights into concise data narratives
- Experience with data extraction, wrangling, and building pipelines
- Strong analytical and problem-solving skills
- Ability to drive projects independently in a fast-paced environment
- Detail-oriented mindset focused on accuracy, efficiency, and process standardization
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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