Data Science Analyst, CPG and Retail Analytics

Job Overview:

The Data Science & Analytics plays a critical role in transforming data into actionable insights that drive business performance. This role partners closely with product, marketing, and operational teams to support decision-making through analysis, reporting, experimentation, and emerging AI-driven capabilities. You will leverage advanced analytics, automation, and AI tools to uncover trends, improve efficiency, and support scalable decision-making. In addition, you will help establish and refine processes that improve data quality, reporting consistency, and analytical rigor across the organization.

• Analyze large datasets to identify trends, patterns, and opportunities for business improvement
• Develop analytical frameworks and decision-support tools that integrate shopper, loyalty, sales, supplier, and market data to drive assortment optimization, category growth, and merchandising strategies
• Partner with merchandising and category leadership to identify growth opportunities, establish KPI frameworks, and measure the impact of assortment, innovation, and differentiation initiatives
• Develop and maintain dashboards, reports, and visualizations to track key performance indicators
• Support experimentation efforts, including A/B test design, execution, and analysis
• Apply AI-enabled tools and techniques (e.g., predictive analytics, automated insights, lightweight ML models) to enhance analysis and efficiency
• Partner with cross-functional teams to define metrics, answer business questions, and inform decision-making
• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders
• Ensure data accuracy and integrity by validating data sources and outputs
• Contribute to building and standardizing analytical processes, documentation, and best practices
• Assist in developing scalable data models and supporting analytics infrastructure
• Translate data insights into actionable strategies focused on consumer behavior, shopper engagement, and in-store retail performance
• Identify opportunities to improve assortment, merchandising, pricing, and promotions through consumer and shopper data analysis
• Partner with commercial and retail teams to connect analytical outputs to in-store execution and retailer-specific strategies
• Performs other duties as assigned

• Bachelor’s degree in data science, statistics, mathematics, computer science, economics or related fields

• 3–5+ years of experience in data analytics, business intelligence, or related field
• Experience using data to inform consumer, shopper, or retail partner strategies, ideally within CPG, grocery, or retail environments
• Preferred experience working with retail, merchandising, category management, assortment optimization, loyalty, or shopper analytics data
• Preferred experience with predictive modeling, machine learning workflows, or AI-powered analytics tools
• Preferred familiarity with data pipelines, data warehousing, and analytics engineering concepts
• Preferred exposure to automation (e.g., scripting, workflow tools) to improve efficiency
• Preferred experience contributing to standardized reporting frameworks or analytics processes

• Strong proficiency in SQL and experience with Python or R
• Familiarity with AI/ML concepts and experience leveraging AI-assisted tools or models in analysis
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
• Solid understanding of statistics, hypothesis testing, and experimental design
• Ability to synthesize complex data into clear insights and recommendations
• Strong attention to detail and process orientation
• Good judgment is required for this…