{"id":1423889,"url":"https://alion.io/job/uber-senior-financial-data-analyst","title":"Senior Data Analyst","company":{"id":230,"name":"Uber","domain":"uber.com","url":"https://alion.io/company/uber","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":88,"open_postings":139,"ghost_share":0.029,"stale_share":0.554,"repost_share":0.072,"time_to_fill_p50_days":12,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":118000,"max":131000,"currency":"USD","period":"year","gross":null,"usd_annual":131000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"FinOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-09-28T19:58:22Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-09T05:43:09Z","board_verified":true,"closed_at":null,"days_open":41,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":40},"description":"About The Team\nThe FinOps Analytics team, central to Uber's Financial Operations, provides crucial insights across Procure-to-Pay (P2P), Travel & Expense (T&E), and Order-to-Cash (OTC). We partner with Fintech to develop data transformations and publish over 80 business facing Dashboards. Our work drives strategic metrics, scales operations, and improves working capital and free cash flow through targeted ad-hoc analysis.\nAbout The Role\nWe are looking for a stellar Senior Data Analyst atUber!\nOur team is responsible for delivering critical information and analyses that drive strategic decisions within Uber Financial Operations. We equip our partners and stakeholders with timely, accurate, and actionable insights to achieve their objectives. Simply put, while FinOps manages the engine of Finance's operational transactions, Analytics provides the compass - leveraging business intelligence and analytics tools and dashboards to chart our course. Our vision is to strengthen our expertise in machine learning and predictive analytics utilizing cloud and generative artificial intelligence based capabilities to proactively transform FinOps workflows, and that's where your skills become essential.\nWhat The Candidate Will Do\nOwn the full lifecycle of operational metrics-from KPI design to dashboard deployment and stakeholder adoption to design metrics that drive accountability, surface inefficiencies, and guide automation\nUtilize predictive modeling techniques to support scenario analysis, helping the FinOps team to understand potential financial outcomes based on various business strategies\nPerform ad hoc analyses and create reports as requested by leadership to support strategic initiatives and decision-making\nDrive automation and innovation efforts for reporting, leveraging data science tools to increase efficiency and accuracy\nBasic Qualifications\n3+ years of work experience in finance analytics, business analytics, data analytics and/or within a similar field\nExperience with Tableau and or similar data visualization tools\nStrong Expertise in SQL\nBachelor's Degree or equivalent experience in a quantitative, analytics and or statistics field.\nPreferred Qualifications\nExperience with Oracle Cloud, AWS, Azure or similar cloud based analytics environments.\nExceptional problem-solving abilities, with a keen eye for detail and a data-driven approach to decision-making\nExperience and expertise in analytical databases, data warehousing, and data modeling\nExperience in data science, financial analytics, or a similar role with a focus on financial data.\nExperience in AI enablement for complex analytics environments.\nExcellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences.\nStrong sense of ownership and accountability\nCurious, self-directed, and impact-driven - you chase high-impact problems to deliver solutions.\nComfortable with ambiguity and switching contexts in a fast-moving environment\n For Dallas, TX-based roles: The base salary range for this role is USD $118,000 per year - USD $131,000 per year.\nFor San Francisco, CA-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year.\nFor all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. 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