Data Analyst II, Tech

Uber; San Francisco (CA); On-site; USD 135,000 - 150,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber’s Mobility Customer Experience Analytics team is seeking a data-driven analyst to transform complex customer signals into actionable insights. You’ll own North Star metrics, run rigorous deep-dive analyses, design experiments, and build analytics tools that empower non-technical partners to act with confidence.

You’ll collaborate with Product, Operations, and Finance, write SQL, use Python and LLM-powered tools, and deliver executive-level communications to influence policy and product.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, Data Analytics, or related field.
• 3+ years of experience in analytics, business intelligence, data engineering, or a similar role.
• Proficiency in Python, R, and SQL, with a proven ability to write and understand complex queries.

Responsibilities

• Own North Star metrics and targets used to measure and drive Mobility CX strategy.
• Lead deep-dive analyses by forming hypotheses, designing experiments, and quantifying impact using ROI analysis.
• Evaluate and shape customer support design with impact tracking across traditional workflows and GenAI-powered experiences.
• Turn ambiguous business questions into data-driven recommendations to streamline the user-facing support experience and influence product, app, and policy changes.
• Build and manage self-service data products including dashboards and reporting frameworks for non-technical users and cross-functional partners.
• Develop an understanding of business performance and deliver executive-level communications to inform senior leadership.
• Collaborate with Product, Operations, and Finance to implement recommendations and perform root-cause analyses.
• Write complex SQL and use data modeling to create a single source of truth architecture.
• Use Python and LLM-powered coding tools for data transformation, automation, and model development.
• Potentially lead junior analysts and elevate analytical tools, frameworks, and processes.

Skills

Python

R

SQL

Tableau

Looker

Streamlit

LLM tools

Education

Bachelor’s degree

Tools

Tableau

Google Data Studio

Google Sheets

Excel

Looker

Streamlit

LLM tooling

Job description

Join Uber’s Mobility Customer Experience Analytics team and help turn complex customer and operational signals into decisions that improve growth bets, new product launches, and airport and venue experiences. You’ll own key success measures (North Star metrics), run rigorous deep-dive analyses and experiments, and build practical analytics tools that help non-technical partners move faster with confidence. The team also focuses on improving customer support experience tracking across both traditional workflows and GenAI-powered support channels.

What You’ll Do

• Own North Star metrics and targets used to measure and drive the Mobility Customer Experience strategy.
• Lead deep-dive analyses by forming testable hypotheses, designing experiments, and quantifying impact of launches, growth bets, and airport and venue operations using rigorous ROI analysis.
• Evaluate and shape customer support design, establishing impact tracking across traditional support workflows and GenAI-powered support experiences.
• Turn ambiguous business questions into data-driven recommendations that identify opportunities to streamline the user-facing support experience and influence product, app, and support policy changes.
• Build and manage self-service data products including dashboards and reporting frameworks to support non-technical users, business leaders, and cross-functional partners.
• Develop a deep understanding of business performance and deliver executive-level communications to inform and influence senior leadership.
• Collaborate with Product, Operations, and Finance to implement recommendations, perform root-cause analyses, and drive operational efficiency.
• Write complex SQL and use data modeling to transform raw data into stable “single source of truth” architectures.
• Use Python and LLM-powered coding tools for data transformation, automation, and model development to accelerate actionable insights.
• Potentially support the team by leading junior analysts and helping standardize and elevate analytical tools, frameworks, and processes.

What You Bring

• 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, with a proven ability to write and understand complex queries.

Skills and Tools

Python, R, SQL, Tableau, Google Data Studio, Google Sheets/Excel, Looker, Streamlit, and LLM-powered coding tools.

Compensation and Benefits

Salary: USD 135,000 - 150,000 per year.

• Eligible to participate in Uber’s bonus program.
• May be offered an equity award and other types of comp.
• Eligible to participate in a 401(k) plan.
• Various benefits (including a range of benefits).

Office Presence

Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles may require full-time in-office presence.

Location: San Francisco, CA (onsite).