Retail Data & Consumer Insights Intern
Quick Summary
Apprenticely is working with our company partner, the Umami to add an Retail Data & Consumer Insights Intern to their team in Bentonville, Arkansas!
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).
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.
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
Location & Eligibility
Listing Details
- Posted
- June 15, 2026
- First seen
- June 15, 2026
- Last seen
- June 17, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 71%
- Scored at
- June 15, 2026
Signal breakdown
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