Business Analytics Manager, Revenue

Ibotta is seeking an Business Analytics Manager to join the Revenue Strategy & Operations team. The team that drives actionable insights and the processes into revenue outcomes. This is not only a data reporting role. You will embed with the people who own Ibotta’s revenue, find the questions they should be asking, and answer those at a speed that changes how decisions get made. You’ll do that by working AI-natively, using agents and LLM tooling as a core part of how you explore data, build, and ship, not as an occasional assist. We’re looking for someone with real analytics depth who has already rebuilt how they work around AI, and who wants to set that standard for the rest of the organization.

Responsibilities

Embed within the Revenue organization to understand how they make decisions, then reframe vague asks into the question actually worth answering; Build and ship insight products at speed: analyses, models, and scalable visualizations that reach the whole Revenue org, not one-off pulls for one requester; Use AI agents and LLM tooling to compress the cycle from question to answer, and continuously raise the ceiling on what one person can deliver; Serve as a design partner to Ibotta’s core Data and Analytics teams. Advise on data models, metric definitions, and semantic layers so Revenue’s needs are built into the foundation rather than worked around; Own the quality bar on AI-assisted output: validate results, know where the model is wrong, and make the reasoning inspectable to stakeholders; Develop internal patterns, tooling, and documentation that let others in Revenue work this way too

Requirements

5-7+ years in analytics, business intelligence, analytics engineering, or data science, with a track record of work that changed a business decision; Experience shipping meaningful work using LLMs, coding agents, or agentic workflows, and ability to speak specifically about what worked, what failed, and how you verified the output. Exposure alone is not enough; Proven business instincts - you can read a revenue model, understand what drives it, and prioritize by impact rather than by request order; Excellent communication skills; able to move between a technical data conversation and an executive recommendation without losing either audience; Operates with high autonomy in ambiguity; Candidates must live in the United States; Applicants must be currently authorized to work in the United States on a full-time basis; Hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday)

Nice to have

Bachelor’s or Master’s degree in a quantitative, technical, or business field; Advanced SQL, including complex modeling and semantic layer design, on a modern warehouse (Databricks, Snowflake, BigQuery or similar); Experience building in a modern visualization platform (Looker, Tableau, Power BI or similar) and clear opinions about when a dashboard is the wrong answer

Benefits

Competitive pay; Flexible time off; Benefits package (medical, dental, vision); Employee Stock Purchase Program; 401k match; Denver office perks include paid parking, snacks and occasional meals; Equity is included in overall compensation package; Relocation bonus to help make your move to Denver a smooth one