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 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 advantagesfrom 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 Studiobacked by the Walton Family Foundation and the Arkansas Development Finance Authority (ADFA).
About the Role:
The Intern will support Umamis retail data collection and consumer insights workflows using the Clippr plugin and related internal tools. This role is ideal for someone who is detailoriented 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 consumer sentiment data aligned with Umamis 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
Qualifications of an ideal candidate:
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.
Additional Details:
Pay Range: $15/hr
Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday
Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand
Location: Bentonville Arkansas
Our Must Haves:
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
$15 - $15 an hour
How does the interview process work Apprenticely will conduct an initial phone interview and assessment. Apprenticely will send selected resumes to companies that match the candidates skills and interests. Our employer partners will decide who to interview and select the final candidates for the internship program.
Meet the Apprenticely team and join our upcoming virtual webinars via zoom; dates and details are on ourevents page.
The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE COLOR RELIGION NATIONAL ORIGIN SEX (INCLUDING PREGNANCY AND GENDER IDENTITY) SEXUAL ORIENTATION GENETIC INFORMATION OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations part 30
SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating you also understand that message frequency may vary depending on the status of your job application and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Intern
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 experi...
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 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 advantagesfrom 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 Studiobacked by the Walton Family Foundation and the Arkansas Development Finance Authority (ADFA).
About the Role:
The Intern will support Umamis retail data collection and consumer insights workflows using the Clippr plugin and related internal tools. This role is ideal for someone who is detailoriented 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 consumer sentiment data aligned with Umamis 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
Qualifications of an ideal candidate:
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.
Additional Details:
Pay Range: $15/hr
Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday
Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand
Location: Bentonville Arkansas
Our Must Haves:
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
$15 - $15 an hour
How does the interview process work Apprenticely will conduct an initial phone interview and assessment. Apprenticely will send selected resumes to companies that match the candidates skills and interests. Our employer partners will decide who to interview and select the final candidates for the internship program.
Meet the Apprenticely team and join our upcoming virtual webinars via zoom; dates and details are on ourevents page.
The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE COLOR RELIGION NATIONAL ORIGIN SEX (INCLUDING PREGNANCY AND GENDER IDENTITY) SEXUAL ORIENTATION GENETIC INFORMATION OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations part 30
SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating you also understand that message frequency may vary depending on the status of your job application and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
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