Senior Strategy & Planning Analyst, Uber for Business

About the Role S&P Business Analytics & Insights team sits at the center of U4B’s growth, building scalable reporting, advanced analytics, and AI-driven solutions that power strategic decisions across the organization. We partner closely with Sales, Strat Ops, Operations, and U4B leadership to define key metrics, uncover insights, and drive accountability across the business. In this role, you will influence high-stakes decisions, identify revenue and market share opportunities, and help scale a data-driven culture as U4B accelerates toward its $10B goal. What You’ll Do Partner with Strategy & Operations and Core Operations teams as a thought partner to deliver reporting and insights on key U4B Growth Bets aligned to long-range planning goals Build and scale dashboards and reporting to track performance, measure impact, and drive accountability across growth initiatives Analyze category positioning, share of wallet, and whitespace opportunities to inform investment decisions and prioritize high-impact growth areas Work cross-functionally with product, sales, and operations teams to evaluate new product unlocks and translate business questions into actionable analyses Synthesize complex data into clear insights and recommendations, enabling leadership to make informed, data-driven decisions Basic Qualifications 4+ years of experience in a data-focused role (e.g., Data Analyst, BI Analyst, Data Scientist) with a track record of driving business insights and decision-making Bachelor’s degree Strong proficiency in SQL and Python, with hands-on experience in data manipulation, KPI tracking, and building scalable data workflows and dashboards (e.g., Tableau, Power BI, Looker) Preferred Qualifications Strong business acumen with the ability to influence senior stakeholders, translate complex analyses into strategic recommendations, and drive impact in sales or revenue-focused environments Demonstrated problem-solving and stakeholder management skills, with the ability to translate ambiguous business questions into structured analyses and communicate actionable insights to cross-functional partners Experience developing and applying machine learning models (e.g., regression, forecasting, opportunity sizing) to solve business problems such as revenue growth and share of wallet estimation Advanced analytical and statistical expertise, including techniques like multivariate regression, time series analysis, and A/B testing to drive data-backed decisions Experience working with cloud platforms (e.g., GCP, AWS, Azure) and large-scale data warehouses (e.g., BigQuery, Snowflake) to build scalable data and modeling solutions For New York, NY-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. For 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. All full‑time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link 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. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. #J-18808-Ljbffr Uber