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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analytics and data science with a focus on partner relationships, performance reporting, and data-driven insights. Proficient in forecasting, measurement models, and consultative communication tailored for executive audiences.
Highest-signal resume keywords
10+ Years Experience In AnalyticsExpertise In Forecasting And Measurement ModelsHands-On Proficiency With SQL And PythonExperience In Retail Media And Performance MarketingDeep Partner-Facing And Consultative Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisPerformance ReportingForecastingFinancial ModelingExperimental DesignAttribution ModelsData EconomicsPrivacy-Safe Data CollaborationAI-Assisted AnalyticsAutomation Workflows
Soft Skills
Visual Communication SkillsVerbal Communication SkillsCollaborative Team PlayerOrganizational SkillsMentoring And Coaching
Tools & Technologies
SQLPythonLookerTableauGit/GitHubDatabricksData Pipeline Tooling
Industry Keywords
Retail MediaPerformance MarketingDigital AdvertisingCPG IndustryPartner Business Models
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Serve as the trusted analytics advisor to Ibotta's strategic publisher partners
- Own the analytics relationship with partner executives in collaboration with Strategic Partner Management
- Build and own per-publisher and network-level scorecards and performance reporting
- Align KPI definitions with Finance and Strategic Partner Management
- Own analytical narratives for recurring publisher business reviews and deep dives
- Design partner-facing tests and case studies
- Build measurement models using partner data, including data clean rooms
- Forecast publisher performance and track contractual commitments such as minimum guarantees
- Size opportunities for new partner capabilities and prospective publishers
- Analyze partner economics, including publisher profitability, publisher overlap, and network revenue concentration
- Generate and communicate data-driven insights and recommendations
- Develop executive-ready analytical narratives for technical and non-technical audiences
- Help shape the Publisher Insights analytics roadmap
- Convert recurring partner requests into scalable, standardized, increasingly automated solutions, including AI-assisted workflows
- Contribute to thought leadership through point-of-view content and industry participation
- Mentor and coach junior and mid-level team members
- Review analytical work and conduct teach-outs
- Monitor industry trends and standards in forecasting, attribution, measurement, and retail media analytics
- Plan, execute, and deliver internal analytical projects within agreed timelines
- Uphold Ibotta's Core Values
Requirements
What you’ll need- 10+ years of experience in analytics, data science, or decision science roles of increasing responsibility and impact
- Experience in retail media, performance marketing, or digital advertising; retail or CPG industry experience is a strong plus
- Bachelor's degree in computer science, mathematics, statistics, data science, or a related quantitative field, or equivalent experience
- Deep partner-facing and consultative experience
- Experience advising external partners
- Proven ability to build compelling, insight-driven partner narratives
- Expert visual and verbal communication skills
- Experience presenting to senior executive and C-suite audiences
- Expertise in experimental and quasi-experimental design, including holdout tests, matched markets, difference-in-differences, and synthetic control
- Deep knowledge of forecasting, measurement, and attribution models, including incrementality and marketing mix modeling (MMM)
- Experience in forecasting and financial modeling at partner or business-unit level, including scenario planning and opportunity sizing
- Experience analyzing partner or commercial economics
- Experience with privacy-safe data collaboration, including data clean rooms
- Hands-on proficiency with SQL, Python, and BI platforms such as Looker or Tableau
- Fluency with AI-assisted analytics and automation workflows
- Experience with Git/GitHub, Databricks, and data pipeline tooling is a plus
- Expertise in one or more partner business models, or ability to build it quickly
- Self-directed, highly organized, and able to manage multiple complex partner engagements simultaneously
- Collaborative team player with demonstrated cross-functional relationship-building success
- Willingness to travel up to 20%
- Must live in the United States
- Must be currently authorized to work in the United States on a full-time basis
Benefits
Comp & perks- Flexible time off
- Medical insurance
- Dental insurance
- Vision insurance
- Employee Stock Purchase Program
- 401k match
- Paid parking
- Snacks
- Occasional meals
- Variable compensation component in addition to base salary
- Equity included in overall compensation package