Strategic Customer Analytics & Decision Science Manager

PepsiCo Inc.; Plano, Purchase, Chicago (TX, NY, IL); Sur place; USD 111 000 - 185 000; Plein temps

Avantages offerts par ce poste

Medical, Dental, Vision

Disability Insurance

Retirement Plan

Paid Time Off

Employee Assistance Program

Life Insurance

Résumé du poste

PepsiCo in Plano, TX, seeks a Customer Analytics and Decision Science Manager to translate shopper data into actionable insights across PepsiCo's brands and retailers. You will connect commercial strategy with advanced analytics, develop scalable analytics, and partner with cross-functional teams to deliver trusted, measurable outcomes.

You'll lead the Store DNA initiatives, shape analytics roadmaps, and communicate recommendations to senior leaders.

Qualifications

• Bachelor’s degree in data science, Computer Science, Statistics, Business Analytics, Marketing Analytics, Economics, or a related field.
• Minimum of 5+ years of experience in analytics, commercial analytics, data/decision science, business intelligence, data product delivery, or a related field.
• Expert level SQL skills, with experience extracting, joining, aggregating, validating, and troubleshooting data from large and small data sets.
• 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 recommendation 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.

Responsabilités

• 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.

Connaissances

SQL

Python

Data analytics

Data storytelling

Stakeholder communication

AI/ML

Analytical thinking

Cross-functional collaboration

Requirements translation

Data quality

Formation

Bachelor’s degree in data science / related field

Description du poste

PepsiCo in Plano, TX, seeks a Customer Analytics and Decision Science Manager to translate shopper data into actionable insights across PepsiCo's brands and retailers. You will connect commercial strategy with advanced analytics, develop scalable analytics, and partner with cross-functional teams to deliver trusted, measurable outcomes.

You'll lead the Store DNA initiatives, shape analytics roadmaps, and communicate recommendations to senior leaders.