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# Manager, Customer Analytics and Decision Science

- **Company:** PepsiCo, Inc.
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $110,700 - $185,250
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, JIRA, Customer Data Management, Data Validation, Data Cleansing, Information Engineering, Data Presentation, Github, Python (Programming Language), Standard Sql, Software Engineering, Information Technology, Tools for Reporting
- **Published:** October 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=073bcef5fd697e04

## About the Role

* Bachelor's degree in data science, Computer Science, Statistics, Business Analytics, Marketing Analytics, Economics, or a related field required
 * Minimum of 5+ years of experience in analytics, commercial analytics, data/decision science, business intelligence, data product delivery, or a related field required
 * Expert level SQL skills, with experience extracting, joining, aggregating, validating, and troubleshooting data from large and small data sets required
 * Strong Python skills and experience with pandas or comparable analytics tools for developing, validating, and scaling repeatable analyses
 * Experience building, launching, or supporting analytics solutions, dashboards, decision-support tools, or data products used by business teams
 * Ability to translate business questions into analytical approaches, technical requirements, and practical recommendations for commercial stakeholders
 * Experience applying artificial intelligence and machine learning tools to enhance analytics, automate repeatable workflows, identify patterns, and translate complex data into actionable commercial recommendations
 * Strong communication and storytelling skills, with experience presenting insights and recommendations to cross-functional partners and senior leaders with demonstrated ability to align and influence
 * Strong understanding of data quality, data validation, data cleansing, root cause analysis, and issue resolution
 * Experience creating documentation, training materials, or adoption routines that help users understand and apply analytics solutions

Preferred Skills:

 * Successful candidates will bring a mix of commercial curiosity, analytical rigor, technical fluency, product mindset, and the ability to turn complex information into practical growth actions.
 * Experience in consumer-packaged goods, retail, shopper insights, category management, space planning, revenue growth management, or commercial analytics
 * Experience working with customer, store, product, shopper, loyalty, point-of-sale, or retailer data
 * Experience using adoption metrics, stakeholder feedback, and business impact measures to improve analytics solutions over time
 * Experience with forecasting, segmentation, optimization, personalization, store targeting, or other advanced analytics methods
 * Familiarity with agile ways of working, including requirements gathering, backlog prioritization, Jira, GitHub, or similar tools
 * Experience mentoring analysts, guiding cross-functional partners, or leading work through influence

## Description

As Customer Analytics and Decision Science Manager you will help shape how PepsiCo uses data to understand shoppers, improve retail execution, and unlock growth across a broad portfolio of iconic brands. This role is ideal for someone who can connect commercial strategy, advanced analytics, and decision science insights. Turn shopper, store, product, and customer data into scalable insights and tools that guide assortment, space planning, segmentation, and go-to-market decisions. Partner across business, analytics, product, data, and engineering teams to deliver trusted solutions with measurable impact.
Responsibilities:

 * Develop scalable shopper and commercial analytics that identify growth opportunities, improve retail execution, and turn complex data into actionable recommendations for assortment, space planning, segmentation, shopper activation, personalization, and commercial planning.
 * Shape the roadmap and continuous improvement of Store DNA (sDNA) and related tools based on user needs, business priorities, adoption, impact, and technical feasibility.
 * Partner with insights, sales, strategy, commercial planning, product, data engineering, and software engineering teams to define analytical solutions and delivery plans, leading through influence.
 * Ensure analytical quality through data validation, business rules, issue resolution, and fit-for-purpose outputs while advancing analytical rigor and business translation.
 * Develop results presentations, training, documentation, and enablement materials for technical and non-technical audiences.
 * Track and improve business value through adoption, speed to insight, data quality, user satisfaction, use-case deployment, and application.