Data Analyst I

Join Uber’s data team in Sunnyvale, CA (onsite) to help shape initiatives that improve customer experience. In this Data Analyst I role, you’ll generate granular insights into user behavior and engagement, partnering closely with Program Managers and Operations to bring structure to complex data workflows and make findings actionable.

Base salary: USD $113,000 - $125,000 per year. This position is eligible for Uber’s bonus program, and you may be offered an equity award and other types of compensation. Full-time employees are eligible to participate in a 401(k) plan, along with various benefits.

What you’ll focus on

• Partner with Program Managers and Operations to add structure, visibility, and actionable insights to complex user-experience data workflows.
• Support critical incidents and outages, including building attribution logic around user impact.
• Measure what matters, identify performance gaps, and guide decision-making using data.
• Use insights from support conversations to improve product adoption and find opportunities for continuous improvement.

What you’ll bring

• 1+ year of work experience in Analytics, Business Intelligence, Mathematics, Statistics, Computer Science, Engineering, or a related discipline.
• 3+ years of professional experience in a data analyst, business intelligence, or quantitative analytical role.
• 3+ years writing complex SQL queries for extraction, wrangling, and analysis across large datasets.
• Hands-on Python experience for data analysis, extraction, and visualization, including Pandas, NumPy, and Plotly.
• Experience building automated, real-time reporting and interactive dashboards using Looker Studio or Tableau.
• Practical statistical experience, such as regression analysis and classification, plus experience designing and analyzing A/B tests and experiments.
• Familiarity with Large Language Models (LLMs), Generative AI applications for data-driven workflows, and cloud-based data platforms such as Google Cloud Platform.
• Experience with Google Apps Script, Google Colab, Google Sheets, and Google Slides to build custom workflows and deliver technical presentations.
• Background in customer experience (CX) analytics, including metrics like CSAT, incident/outage user impact attribution, or customer support conversation data.
• Experience partnering directly with Program Management and Operations, including working across remote teams and varying time zones.
• Ability to translate complex dataset findings into clear, actionable insights for cross-functional stakeholders.

Tools you’ll use

• SQL, Python, Pandas, NumPy, Plotly
• Looker Studio, Tableau
• Large Language Models (LLMs), Generative AI
• Google Cloud Platform, Google Apps Script, Google Colab, Google Sheets, Google Slides
• A/B tests

In-office collaboration: 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. Ask your Recruiter for details about this role’s requirements.