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Research Data Analyst Intern Jobs in Utah (NOW HIRING)

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

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Research Data Analyst Intern information

What does a research data analyst intern do?

A Research Data Analyst Intern assists with collecting, cleaning, and analyzing data to support research projects. They work closely with senior analysts and researchers to interpret data, create reports, and help visualize findings. Their tasks often include using statistical software, managing databases, and ensuring data quality. The internship provides practical experience in data analysis and research methodologies, making it valuable for students or recent graduates interested in data-driven careers.

What are the key skills and qualifications needed to thrive as a research data analyst intern?

To thrive as a Research Data Analyst Intern, you typically need a strong background in statistics, data analysis, and quantitative research methods, often supported by coursework in fields like mathematics, computer science, or economics. Familiarity with data analysis tools and programming languages such as Excel, R, Python, and data visualization software is highly valuable. Attention to detail, critical thinking, and strong communication skills set top candidates apart in this role. These skills and qualities are crucial for accurately interpreting data, presenting findings clearly, and supporting research objectives within a team or academic environment.

What types of projects and data sets do research data analyst interns typically work with during their internship?

As a Research Data Analyst Intern, you can expect to work on projects involving data collection, cleaning, and analysis to support ongoing research studies. The data sets often include survey responses, experimental results, or large publicly available databases, depending on the organization's focus. You'll collaborate closely with senior analysts and researchers to interpret findings, prepare visualizations, and contribute to reports or publications. This exposure provides valuable hands-on experience with real-world data and research methodologies, helping you build a strong foundation for a future career in data analysis or research.

What is the difference between Research Data Analyst Intern vs Data Analyst?

AspectResearch Data Analyst InternData Analyst
CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship setting, often in research or academic projectsFull-time or part-time roles in various industries
Employer & IndustryUniversities, research institutions, or companies with research projectsBusinesses, finance, healthcare, tech, and more
Search & Comparison IntentUnderstanding entry-level research roles in data analysisSeeking full-time data analysis positions

The main difference between a Research Data Analyst Intern and a Data Analyst lies in experience level, work environment, and employment status. Interns are usually students or recent graduates working temporarily in research-focused settings, while Data Analysts are full-time professionals working across various industries. Both roles require similar foundational skills, but the internship offers a stepping stone into the data analysis career path.

What cities in Utah are hiring for Research Data Analyst Intern jobs?

Cities in Utah with the most Research Data Analyst Intern job openings:

Research Data Analyst Intern jobs near you
Infographic showing various Research Data Analyst Intern job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Analyst, Sales and Marketing

BetterBody Foods & Nutrition

Lindon, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

The Data Analyst transforms internal and external data into clear insights that support sales, marketing, product, and retail strategy. This role partners with teams across the company to evaluate performance, identify growth opportunities, improve reporting, and support informed decisions.
The position uses AI tools throughout the analytical process to accelerate research, develop solutions, automate routine work, and create effective deliverables. The ideal candidate is curious, detail oriented, comfortable learning new technology, and able to translate complex information into practical recommendations.
WHAT YOU'LL DO
  • Analyze sales, category, retailer, marketing, and competitive performance to identify trends, risks, and growth opportunities.
  • Gather, combine, and validate data from internal systems, syndicated data providers, distributors, retailers, ecommerce platforms, and other sources.
  • Use Codex and other AI tools to support research, write and troubleshoot SQL or code, automate workflows, and improve reporting processes.
  • Create dashboards, recurring reports, presentations, and ad hoc analyses that clearly communicate business performance.
  • Support sales and strategic projects with retailer and category insights, including assortment, market share, distribution, pricing, and product velocity.
  • Present findings and recommendations to Sales, Marketing, leadership, and other partners across the company.
  • Review analytical work and AI generated output to ensure accuracy, sound methodology, and appropriate handling of company data.

Benefits
- Opportunity for Advancement
- Quarterly Bonuses
- 12 Paid Holidays plus a Floating Holiday and PTO
- Sick Days (separate from PTO)
- Employee Discounts on Product
- 401k Match
- Medical, Dental, Vision, and Life Insurance
- HSA Match
- Employee Referral Bonus
- Clean Working Environment
Requirements
QUALIFICATIONS
  • Bachelor's degree in Data Analytics, Business, Economics, Statistics, Information Systems, Finance, or a related field, or equivalent practical experience.
  • Experience analyzing sales, marketing, retail, or other business data.
  • Experience using AI tools such as Codex, ChatGPT, Microsoft Copilot, or Gemini to support analytical, technical, or research work.
  • Strong analytical and problem solving skills, including the ability to turn an open question into a structured analysis.
  • Proficiency in Microsoft Excel or Google Sheets.
  • Working knowledge of SQL and experience with databases or cloud data warehouses.
  • Experience creating clear reports, visualizations, and presentations.
  • Strong written and verbal communication skills.
  • Ability to collaborate across teams, manage competing priorities, and meet deadlines.
  • A proactive approach and an interest in learning new tools, data sources, and business processes.

PREFERRED QUALIFICATIONS
  • Experience using Codex or similar tools to develop scripts, work with APIs, automate processes, or analyze data.
  • Experience with CPG or retail data, including syndicated, distributor, or retailer specific sources.
  • Experience with BigQuery, Looker Studio, Power BI, Tableau, or similar platforms.
  • Familiarity with market share, distribution, velocity, assortment, pricing, and other retail analytics concepts.
  • Experience creating customer facing sales presentations or data driven selling stories.

WORK ENVIRONMENT This position is primarily performed in an office environment and requires regular computer based work. The current expectation is onsite work, with any hybrid arrangement determined by company policy and business needs.

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