About the role and team
Leading at Uber means navigating ambiguity, staying calm under pressure, and owning outcomes without a perfect script. As a Senior Business Systems Analyst, you will solve complex, real-world data challenges. This is not a "business as usual" reporting role; you will be at the center of our digital transformation, architecting scalable data governance and AI-driven solutions that power movement and commerce across the platform.
The work is fast-moving and high-stakes. You’ll be tasked with breaking down messy, unstructured problems into focused plans of execution—balancing the need for rapid insights with the necessity of airtight governance and technical debt reduction. If you are a systems thinker who cares about building infrastructure that actually works, and you’re energized by the challenge of bridging the gap between business strategy and engineering reality, this is where you’ll grow.
What you’ll do
- Lead the design and implementation of data governance frameworks and spend analytics programs, from the initial business case to the rollout of global operating models.
- Scope and prioritize complex data requirements across matrixed stakeholders, including IT engineering, finance, and regional operations teams.
- Build and maintain intelligent dashboards and real-time system alerts using Tableau or Power BI to deliver decision-ready insights to executive leadership.
- Extract and analyze large-scale datasets from ERP and CRM systems (Oracle, Salesforce), identifying hidden patterns, risks, and multi-million dollar savings opportunities.
- Champion technical excellence by establishing data quality standards, deduplication processes, and monitoring data traceability across the information lifecycle.
- Experiment with emerging technologies, including prompt engineering and LLM model testing, to deploy AI agents that optimize inefficient sourcing or commercial workflows.
Basic Qualifications
- Minimum 4 years of experience in data analytics, consulting, sales operations, or supply chain analytics.
- Bachelor’s or Master’s degree in a quantitative field such as Engineering, Data Analytics, Finance, or Computer Science.
- Minimum 2 years of direct experience in the strategy and execution of data governance, data quality, or AI/ML-driven projects.
- Strong proficiency in SQL and hands-on experience with data visualization tools (Tableau or Power BI).
- Experience with enterprise-level systems, specifically Salesforce (CPQ, Account Hierarchies) or Oracle/ERP environments.
Preferred Qualifications
- Proficiency in Python for data science, automation, or API integration.
- Hands-on experience with prompt engineering and deploying LLM-based solutions (e.g., GPT, Gemini).
- Deep understanding of Master Data Management (MDM), data lineage, and metadata management.
- Familiarity with compliance frameworks, such as SOX or HIPAA, and building audit-ready data processes.
- Proven ability to translate complex, ambiguous business problems into structured, data-backed solutions for non-technical stakeholders.
- Experience in high-growth tech environments where priorities and tech stacks evolve rapidly.
For San Francisco, CA-based roles: The base salary range for this role is USD $133,000 per year - USD $148,000 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.
About UsReady 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.
Skills Required
- Minimum 4 years of experience in data analytics, consulting, sales operations, or supply chain analytics
- Bachelor's or Master's degree in Engineering, Data Analytics, Finance, Computer Science, or another quantitative field
- Minimum 2 years of direct experience with data governance, data quality, or AI/ML-driven projects
- Strong proficiency in SQL
- Hands-on experience with Tableau or Power BI
- Experience with Salesforce CPQ and account hierarchies or Oracle/ERP environments
- Proficiency in Python for data science, automation, or API integration
- Experience with prompt engineering and deploying LLM-based solutions such as GPT or Gemini
- Understanding of Master Data Management, data lineage, and metadata management
- Familiarity with SOX or HIPAA compliance frameworks and audit-ready data processes
- Ability to translate ambiguous business problems into structured, data-backed solutions
- Experience in high-growth technology environments
Uber Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.
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Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
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Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
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Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.
Uber Insights
What We Do
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.
Why Work With Us
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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