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Nutrition Data Analyst Jobs in Utah (NOW HIRING)

Merical Inc.

Nutrition Scientist

Ogden, UT · On-site

$120 - $140/hr

Access scientific data for quality and compliance risks. * Guide research based on claim(s) and ... Analytical and critical thinking. * Regulatory expertise and risk awareness; practical ...

Balchem

Quality Lab Programs Lead Global

Ogden, UT · On-site

Human Nutrition and Health, Animal Nutrition and Health, and Specialty Products. POSITION SUMMARY ... Strong working understanding of laboratory operations, analytical workflows, and data integrity ...

Balchem

Quality Lab Programs Lead Global

Ogden, UT · On-site

Human Nutrition and Health, Animal Nutrition and Health, and Specialty Products. POSITION SUMMARY ... Strong working understanding of laboratory operations, analytical workflows, and data integrity ...

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Nutrition Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do nutrition data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for nutrition data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What is a nutrition data analyst?

A Nutrition Data Analyst collects, interprets, and analyzes data related to nutrition, diet, and food consumption to support research, healthcare, or industry decision-making. They work with large datasets, using statistical tools to identify trends, assess dietary patterns, and evaluate nutritional outcomes. Their insights help improve public health policies, food product development, and individual dietary recommendations. This role often requires knowledge of nutrition science, data analytics, and proficiency in software like Excel, SQL, or Python.

What are the typical daily responsibilities of a nutrition data analyst?

As a Nutrition Data Analyst, your daily tasks often include collecting, cleaning, and organizing nutrition-related datasets, analyzing dietary trends, and generating reports based on your findings. You may work closely with dietitians, researchers, public health professionals, or healthcare providers to interpret results and provide actionable insights. Additionally, you might develop data visualizations or presentations to communicate complex nutritional data in an understandable format for non-technical audiences. This role is collaborative and detail-oriented, making organizational and communication skills extremely valuable in day-to-day activities.

What are the key skills and qualifications needed to thrive in the nutrition data analyst position, and why are they important?

To thrive as a Nutrition Data Analyst, you need a solid background in nutrition science, statistics, and data analysis, often supported by a degree in nutrition, public health, or a related field. Proficiency with data visualization tools, statistical software (such as SPSS, R, or Python), and experience with nutrition databases or healthcare informatics systems is highly valuable. Attention to detail, analytical thinking, and strong communication skills help analysts collaborate with multidisciplinary teams and clearly translate data findings. These competencies are crucial for accurately interpreting nutrition data to inform public health initiatives, clinical decisions, or research projects.

Is there a job as a nutrition data analyst but for food?

A nutrition data analyst working with food focuses on analyzing nutritional information, food composition data, and dietary patterns. This role often involves using tools like Excel, SQL, or specialized nutrition software and may require knowledge of food science and nutrition standards. It is common in research institutions, food companies, and health organizations.

What does a nutrition data analyst do?

A nutrition data analyst collects, analyzes, and interprets nutritional data from various sources to support research, product development, or public health initiatives. They often use statistical tools and software to identify trends, ensure data accuracy, and generate reports that inform dietary guidelines or food industry decisions.

What are the most commonly searched types of Nutrition Data Analyst jobs in Utah?

The most popular types of Nutrition Data Analyst jobs in Utah are:

What are popular job titles related to Nutrition Data Analyst jobs in Utah?

For Nutrition Data Analyst jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Nutrition Data Analyst jobs in Utah look for?

The top searched job categories for Nutrition Data Analyst jobs in Utah are:

Nutrition Data Analyst jobs near you
Infographic showing various Nutrition Data Analyst job openings in Utah as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Data Analyst, Sales and Marketing

BetterBody Foods & Nutrition

Lindon, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 hours 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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