Data Analyst II, Tech

Uber; United States; On-site; USD 135,000 - 150,000; Full time

Benefits offered by this job

Bonus program

Equity

Benefits

Job summary

Uber is seeking a Data Analyst to join the Mobility Customer Experience Analytics team. You will own North Star metrics, perform deep-dive analyses, and design experiments to quantify the impact of growth bets and new product launches.

You will shape support design across traditional and GenAI-powered channels and develop self-service dashboards for cross-functional partners. You will collaborate with Product, Operations, and Finance to drive data-backed recommendations, write complex SQL, and

Qualifications

• Bachelor's degree or higher in Mathematics, Statistics, CS, Economics, Data Analytics or related field.
• 3+ years of experience in analytics, BI, data engineering, or similar.
• Proficiency in Python, R and SQL with ability to write and understand complex queries.

Responsibilities

• Own North Star metrics and targets for Mobility Customer Experience strategy.
• Conduct deep-dive analyses and design experiments to quantify impact of launches and growth bets.
• Evaluate and shape customer support design with rigorous impact tracking across traditional and GenAI-powered channels.
• Translate questions into data-driven recommendations to improve user-facing support and product policies.
• Create self-service data products, dashboards, and reporting for non-technical users and leaders.

Skills

Python

SQL

R

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, Data Analytics, or related field

Tools

Tableau

Google Data Studio

Looker

Streamlit

Google Sheets/Excel

Job description

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.
  

Ready 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.

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.