Retail Data & Consumer Insights Intern

ApprenticelyBentonville, AR
Onsite

About The Position

Apprenticely is working with our company partner, the Umami to add an Retail Data & Consumer Insights Intern to their team in Bentonville, Arkansas! Our Apprenticely Internship Program is a three-month program that places selected candidates with employers across Arkansas in IT positions to gain experience under the guidance of a professional mentor/IT support team. Internships are designed as an on-ramp to an IT career and can roll into full-time positions based on employer demand. About Umami: Umami is an AI-enabled, customer-driven Food & Beverage innovation platform built to analyze customer feedback and company advantages to generate strategic product insights for innovators within consumer-driven brands. We combine machine learning, consumer data, and brands’ unique advantages—from insight to innovation. FIELDBOOK, a studio operated by Alloy Partners, is dedicated to creating and accelerating advantaged “retail value chain” startups. We are launching Umami out of Fieldbook Studio—backed by the Walton Family Foundation and the Arkansas Development Finance Authority (ADFA). About the Role: The Intern will support Umami’s retail data collection and consumer insights workflows using the Clippr plugin and related internal tools. This role is ideal for someone who is detail‑oriented, curious about CPG innovation, and excited to work at the intersection of AI, retail data, and product development.

Requirements

  • Current Arkansas state resident
  • Ability to pass a standard background check
  • Ability to work 40 hours a week, following the three-month internship
  • Ability to work full-time in the United States without a current or future need for visa sponsorship
  • High curiosity and interest in learning new technologies and growing or starting your IT career
  • Technical aptitude exhibited through projects, experience, or online learning and the ability to communicate what you know
  • Strong attention to detail with the ability to maintain accuracy across large datasets.
  • Proficiency with Microsoft Excel and/or Google Sheets.
  • Familiarity with data visualization and reporting tools such as Tableau, Power BI, Looker Studio, or similar platforms.
  • Excellent organizational and time management skills.
  • Strong written and verbal communication skills.
  • Ability to identify patterns, trends, and inconsistencies in data.
  • Comfortable learning new software tools and technology platforms.
  • Ability to work independently while managing multiple projects and deadlines.

Responsibilities

  • Capture product, pricing, packaging, and assortment data across assigned retailers and categories
  • Maintain accuracy and consistency across large datasets
  • Identify anomalies, gaps, or trends during data entry and flag them for review
  • Use the Clippr plugin to scrape, tag, and organize retail product information
  • Execute standardized workflows to support category scans, competitive benchmarking, and assortment mapping
  • Ensure data is properly structured for downstream analytics and reporting
  • Assist in gathering review-based consumer sentiment data aligned with Umami’s methodology (real reviews, not social media)
  • Help decode consumer pain points, unmet needs, and competitive strengths/weaknesses
  • Support the creation of category snapshots, opportunity maps, and early-stage concept inputs
  • Support the preparation of internal and client-facing reports, including charts, summaries, and insights
  • Help analyze patterns across retailers, categories, and consumer feedback
  • Contribute to innovation pipeline prioritization work by organizing and synthesizing data inputs
  • Collaborate with the Innovation, Insights, and Product teams as needed
  • Assist with ad hoc research tasks related to brand health, innovation reports, and opportunity sizing
  • Support internal documentation and workflow optimization
  • Participate in team meetings and contribute to process improvements
  • Help maintain internal databases and knowledge repositories
  • Provide general operational support as the company scales its AI-powered product development platform
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