Key Responsibilities

• Partner closely with Customer Development, Shopper Marketing, and Analytics stakeholders to translate priority business questions into clear analytical approaches and insights using Kroger Collaborative Cloud data.
• Lead hands‑on analysis of shopper transaction, basket‑level, and loyalty data to uncover insights related to:
• Promotion performance and optimization
• Shopper behavior and trip dynamics
• Basket composition, cross‑purchase, and halo effects
• Assortment and pricing effectiveness
• Synthesize complex analytical findings into clear, decision‑ready insights that inform Kroger joint business planning, shopper marketing, and commercial execution.
• Collaborate with business partners & customer analytics to ensure consistent business logic, KPI definitions, and analytical assumptions when working with retailer transaction data.
• Develop visual outputs and narratives (tables, charts, dashboards, or slide‑ready summaries) that effectively communicate insights to both technical and non‑technical audiences.
• Act as a thought partner to the business by proactively identifying new analytical opportunities within KCC data to answer emerging business questions.
• Support knowledge transfer and documentation of methodologies, assumptions, and findings to ensure continuity beyond the 26‑week engagement.

What You Need to Succeed

• Strong technical and analytical aptitude with the ability to focus analysis on business impact and decision‑making, not just outputs.
• 6+ years of experience working with large‑scale transaction or shopper‑level datasets, ideally within retail or consumer goods environments.
• Hands‑on experience performing analysis using cloud‑based analytics environments and modern data tools (e.g., SQL, Python).
• Proven experience translating retailer loyalty, transaction, and basket data into actionable commercial insights.
• Strong communication skills, with the ability to clearly explain analytical findings and implications to non‑technical stakeholders.
• High intellectual curiosity, structured problem‑solving skills, and comfort working in an ambiguous, fast‑moving environment.
• Ability to manage work independently within a defined project timeline (26 weeks) while collaborating effectively with cross‑functional partners.

Core Skills

• Advanced analytical skills using SQL and/or Python to manipulate and analyze large transaction‑level datasets.
• Strong understanding of shopper analytics concepts, including trip missions, basket analysis, penetration, frequency, and cross‑purchase behavior.
• Experience designing analytical approaches to answer promotion, pricing, assortment, and shopper marketing business questions.
• Ability to translate business questions into analytical hypotheses and structured analyses.
• Strong data visualization and storytelling skills, with experience creating clear, compelling, and executive‑ready outputs.

Experience & Qualifications

Required

• Experience delivering end‑to‑end analytics projects for business stakeholders, from problem definition through insight delivery.
• Experience analyzing retailer transaction and loyalty data to drive commercial decisions.
• Experience creating data visualizations and summaries using tools such as Power BI, Excel, or similar.
• Experience working with Customer Development, Sales, or Shopper Marketing teams.
• Experience in consumer goods, retail, or related industries.

Preferred

• Direct experience with Kroger Collaborative Cloud, 84.51° Stratum, or similar retailer data platforms.
• Experience working with shopper marketing or joint business planning use cases.
• Familiarity with syndicated data (e.g., Circana, Nielsen) and how it complements retailer transaction data.
• Experience working in a project‑based or consulting‑style role with defined timelines and deliverables.