Principal Decision Scientist, Marketing Analytics

Ibotta

. Serve as the trusted analytics advisor to Ibotta's strategic publisher partners .

Posted 10/5/2026full-timeDenver • Colorado • United StatesLead💰 $159,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analytics and data science with a focus on retail media and performance marketing. Capable of building strong partnerships, delivering data-driven insights, and leading complex analytical projects while mentoring team members.

Highest-signal resume keywords

10+ Years Experience In AnalyticsExpertise In Experimental DesignDeep Knowledge Of Forecasting And Attribution ModelsHands-On Proficiency With SQL And PythonExperience Analyzing Partner Economics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisForecastingFinancial ModelingPerformance MarketingAttribution ModelingExperimental DesignData Clean RoomsOpportunity SizingRevenue Concentration AnalysisScenario Planning

Soft Skills

Consultative ExperiencePartner-Facing CommunicationMentoring And CoachingBuilding Sustained PartnershipsExecutive Presentation Skills

Tools & Technologies

SQLPythonLookerTableauAI-Assisted Analytics

Industry Keywords

Retail MediaDigital AdvertisingPerformance MarketingData ScienceAnalytics

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Serve as the trusted analytics advisor to Ibotta's strategic publisher partners
Own analytics relationships with partner executives and build sustained partnerships
Build and own per-publisher and network-level scorecards and performance reporting
Define KPIs with Finance and Strategic Partner Management
Own analytical narratives for recurring publisher business reviews and deep dives
Lead partner-facing measurement, including tests, case studies, measurement models, and data clean room analyses
Forecast publisher performance and track contractual commitments such as minimum guarantees
Size opportunities for new partner capabilities and prospective publishers
Analyze 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
Shape the Publisher Insights roadmap with Strategic Partner Management, Business Development, and Finance leadership
Turn recurring partner requests into scalable, standardized, and increasingly automated solutions, including AI-assisted analytics workflows
Author thought-leadership content and participate in industry conversations
Mentor and coach junior and mid-level Publisher Insights team members
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
Analytical domain experience in retail media, performance marketing, or digital advertising
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 and presenting at senior executive and C-suite levels
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, scenario planning, and opportunity sizing
Experience analyzing partner or commercial economics, including revenue share, minimum guarantees, contract performance, and revenue concentration
Experience with privacy-safe data collaboration, such as data clean rooms
Hands-on proficiency with SQL, Python, and BI platforms such as Looker, Tableau, or equivalent
Fluency with AI-assisted analytics and automation workflows
Experience with one or more partner business models, or ability to build this expertise quickly
Ability to manage multiple complex partner engagements simultaneously
Willingness to travel up to 20%
Must live in the United States
Applicants 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 and occasional meals
Variable compensation component
Equity included in overall compensation package