Sr People Analytics Analyst

Uber; United States; On-site; USD 131,000 - 145,000; Full time

Benefits offered by this job

Bonus program

Equity

Benefits

Job summary

Uber’s People Data & Intelligence team seeks a senior data analyst to translate employee insights into action and influence decisions. The role sits at the intersection of analytics engineering and insightful delivery, supporting decisions by building intelligent applications, integrating AI workflows, and transforming raw people metrics into scalable, self-service solutions.

Responsibilities include partnering with HRBPs and business leaders to define analysis blueprints, designing data models,

Qualifications

• Bachelor’s or Master’s degree in a quantitative or analytical field.
• 4+ years in BI, analytics, data engineering, or similar roles delivering insights.
• 3+ years of strong SQL to write complex queries on large datasets.
• Hands-on experience building lightweight apps with Streamlit and Flask.
• Proficient in Tableau and Looker for dashboards and self-service visuals.

Responsibilities

• Analytics Delivery: translate ambiguous business questions into structured analysis blueprints and benchmarks; deliver timely insights to inform strategy and health.
• Build Scalable Analytics Solutions & Data Products: design optimized data models and clean data layers for rapid analysis.
• Application Development & Automation: develop internal tools using Python, Flask, and Streamlit for self-service insights.
• Code Excellence: maintain clean codebases and analytics best practices for scalability.
• Team Mindset: be humble, scrappy, and willing to support foundational data work.

Skills

BI & Analytics experience

SQL

Tableau

Looker

Python

Generative AI tools

People Analytics

Experimental design

Data modeling

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in a quantitative or analytical field

Tools

Streamlit

Flask

Job description

About The Role

At Uber, the People Data & Intelligence team drives business performance by translating employee insights into action. We partner with senior leaders to improve organizational effectiveness, employee engagement, and workforce outcomes across the full talent lifecycle - from hiring to retention.

We are looking for a senior data analyst who is passionate about using data to answer business questions and influence decisions. This role sits at the intersection of analytics engineering and modern insight delivery, supporting decisions by building intelligent applications, integrating AI workflows, and transforming raw people metrics into scalable, self-service solutions.

What You’ll Do

• Analytics Delivery: Partner with cross-functional stakeholders (HRBPs, business leaders, and people teams) to quickly understand ambiguous business questions and translate them into structured analysis blueprints and success benchmarks. Deliver timely, high-quality insights that inform strategy, roadmaps, and organizational health.
• Build Scalable Analytics Solutions & Data Products: Act as a builder - Design optimized data models and clean, structured data layers that enable rapid analysis.
• Application Development & Automation: Develop custom, intelligent data tools and internal web applications (e.g., automated reporting tools, chatbots, or insight generation) using Python, Flask, and Streamlit to enable self-service insights.
• Code Excellence: Focus on long-term scaling by building, maintaining, and documenting clean codebases and analytics best practices within the team.
• Team Mindset: Be humble and scrappy, willing to take on tactical or foundational data work whenever it helps unblock the team or a project.

Basic Qualifications

• Bachelor’s or Master’s degree in a quantitative or analytical field (e.g., Statistics, Economics, Engineering, Computer Science, Data Analytics, or related).
• Minimum 4+ years of experience in business intelligence, analytics, data engineering, or a similar role delivering insights in a corporate environment.
• 3+ years experience of strong SQL expertise with the ability to independently write complex, efficient queries on large production datasets.
• Hands-on experience building lightweight applications and analytical tools using frameworks like Streamlit and Flask.
• Proficiency with industry-standard BI and data visualization tools (such as Tableau and Looker) to design intuitive dashboards and transform raw data into clear, self-service visual narratives.

Preferred Qualifications

• Fluency in Python to clean, manipulate large datasets at scale, and apply analytical, automation, or machine learning capabilities to build scalable solutions.
• Demonstrated ability to work with modern Generative AI tools and APIs to build intelligent data applications, automate complex analytical workflows, and extract actionable insights from large-scale datasets.
• Direct experience in People Analytics, HR data, or exposure to Human Capital Management (HCM) systems and employee listening (survey) analysis.
• Experience in experimental design, exploratory data analysis, data modeling, and statistical analysis.
• Experience working directly with Product and Engineering teams in a fast-moving, cross-functional environment.

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.

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 San Francisco, CA-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year.

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.