Umami
Food & Beverage
RetailData&ConsumerInsightsIntern
Neural analysis suggests this role is
optimal for Entry candidates.
“Retail Data & Consumer Insights Intern at Umami. Skills: Retail data, Consumer insights, AI. Capture product data. Capture pricing data”
Industry & Context.
Identify anomalies; Identify gaps; Identify trends; Decode consumer pain points; Decode unmet needs; Decode competitive strengths; Decode competitive weaknesses
No future visa sponsorship
What They're Looking For.
Must Have
Attention to detail, Proficiency with Microsoft Excel, Proficiency with Google Sheets, Ability to identify patterns, Ability to identify trends, Ability to identify inconsistencies in data, Ability to work independently, Ability to manage multiple projects, Ability to meet deadlines, Current Arkansas state resident, Ability to pass a standard background check, Ability to work 40 hours a week, Ability to work full-time in the United States, Technical aptitude
Nice to Have
Familiarity with data visualization tools, Familiarity with reporting tools, Curious about CPG innovation, Excited to work at the intersection of AI, retail data, and product development, Interest in learning new technologies, Interest in growing IT career, Interest in starting IT career, Ability to communicate technical aptitude
What You'll Do.
Capture packaging data
Capture assortment data
Flag data entry issues
Scrape retail product information
Tag retail product information
Organize retail product information
Execute standardized workflows
Support category scans
Support competitive benchmarking
Support assortment mapping
Structure data for analytics
Structure data for reporting
Gather review-based consumer sentiment data
Decode consumer pain points
Decode competitive strengths
Decode competitive weaknesses
Support creation of category snapshots
Support creation of opportunity maps
Support creation of concept inputs
Support preparation of reports
Analyze patterns across retailers
Analyze patterns across categories
Analyze patterns across consumer feedback
Contribute to innovation pipeline prioritization
Synthesize data inputs
Assist with ad hoc research
Support internal documentation
Support workflow optimization
Participate in team meetings
Contribute to process improvements
Maintain internal databases
Maintain knowledge repositories
Provide general operational support
How You'll Work.
Team & Collaboration
Innovation team; Insights team; Product team
Communication Scope
Written communication; Verbal communication
Full Job Description
## Description 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. ## Intern 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 consum
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