Sr Data Analyst, Tech

Employer: Uber Technologies, Inc.

Job Title: Sr Data Analyst, Tech

Job Location: San Francisco, California

Job Type: Full Time

Rate of Pay: $167,000 to $204,000 per Year

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .

Duties: Develop data strategies, methods, tools, and insights to enable support teams to implement, evaluate, monitor, and improve customer support technology. Use a combination of data analysis and communications methodologies to interpret and present insights to drive strategic decisions. Transform complex data into clear narratives to answer key business questions and resonate with diverse audiences. Demonstrate leadership communication by framing data-driven recommendations to shape strategy and align cross-functional teams around shared goals. Build robust analytical frameworks and scalable data pipelines to empower analysts to perform deep dive investigations, uncover insights and enable analysis across teams. Drive global-first thinking by designing sustainable, standardized solutions to eliminate one-off or ad hoc processes and enable consistency across markets. Design product improvements and new features by leveraging user data to unlock trends and patterns to guide innovation and business growth. Demonstrate agility by managing urgent, high-priority tasks while ensuring solutions remain thoughtful, accurate, and aligned with business objectives. Build and maintain efficient data pipelines, ETL processes, and data products that ensure accuracy, scalability, and low maintenance across global teams. Empower analysts and partners through scalable frameworks, training, and tools that enhance analytical efficiency and consistency. Lead deep-dive analyses to uncover root causes of performance trends and identify actionable insights that guide strategy and operational improvements. May telecommute.

Employer will accept a Bachelor's degree in Economics, Business, Engineering, Operations Research, Communications, or related field, and three years of experience in the job offered or in a related occupation.

Position requires three years in:

1. Performing scalable analysis using R or Python;
2. Database query languages including SQL;
3. A/B testing, or simulation techniques;
4. Debugging and monitoring for production services;
5. Data analysis or Machine Learning Systems;
6. Quantitative modeling, including machine learning models, time-series forecasting or causal impact analyses;
7. Statistical analysis, including descriptive statistics, correlation, regression, or confidence intervals;
8. Framing and communicating data-driven recommendations to align cross-functional teams and shape strategy;
9. Building and scaling analytical frameworks, tools, and training to empower global analysts and partners.

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.