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Nutrition Data Analyst Remote Jobs (NOW HIRING)

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Senior Data Analyst (Remote)

$88K - $111K/yr

Senior Data Analyst (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Work Arrangement * Remote ...

The Data Analyst helps RightNow Media turn data into trusted, consistent, and actionable insight ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate must be in below states Will hire remote in CA, CT, FL, GA, IL, MD, NH, NJ, NY, NC, PA, TX, UT, WA, DC ...

The Senior Data Analyst will help shape the future of employer services, with a focus on HR ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

The main purpose of a data analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better ...

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Nutrition Data Analyst Remote information

See salary details

$34K

$82.6K

$136K

How much do nutrition data analyst remote jobs pay per year?

As of Jul 11, 2026, the average yearly pay for nutrition data analyst remote in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a remote Nutrition Data Analyst typically collaborate with dietitians, researchers, and other team members?

As a remote Nutrition Data Analyst, you’ll frequently work with cross-functional teams such as registered dietitians, researchers, and IT specialists through virtual meetings, project management tools, and shared data platforms. Collaboration often involves interpreting nutrition data, preparing reports, and providing insights that support clinical or wellness initiatives. Regular communication and clear documentation are key, as you may be expected to present findings or troubleshoot data issues in a fully digital environment. Building strong virtual relationships and staying proactive in team discussions help ensure your analyses are aligned with project goals.

What does a Nutrition Data Analyst do in a remote role?

A Nutrition Data Analyst working remotely is responsible for collecting, processing, and analyzing data related to nutrition, dietary habits, and health outcomes. They use statistical tools and software to interpret large datasets, identify trends, and generate reports that help inform nutrition programs or policy decisions. In a remote setting, they collaborate with team members and stakeholders via digital communication tools, ensuring data integrity and confidentiality. Their work supports research, product development, or public health initiatives, depending on the organization.

What is the difference between Nutrition Data Analyst Remote vs Nutrition Research Coordinator?

AspectNutrition Data Analyst RemoteNutrition Research Coordinator
Required CredentialsBachelor's in Nutrition, Data Analysis skillsBachelor's/Master's in Nutrition, Research experience
Work EnvironmentRemote, data-focusedResearch sites, labs, or offices
Employer & Industry UsageHealthcare, wellness companies, research firmsAcademic institutions, research organizations
Common Search & ComparisonYesNo

The main difference is that Nutrition Data Analysts work primarily with data analysis and reporting remotely, focusing on nutritional data sets, while Nutrition Research Coordinators oversee research projects, often in lab or field settings. Both roles require nutrition knowledge, but their work environments and responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Nutrition Data Analyst in a remote role, and why are they important?

To excel as a Nutrition Data Analyst remotely, you need expertise in nutrition science, data analysis, and a relevant degree such as nutrition, biostatistics, or public health. Familiarity with data analytics tools like SQL, Python, R, and software such as Excel or Tableau, as well as experience with nutrition databases, is typically required. Strong attention to detail, self-motivation, and clear communication are vital soft skills for collaborating virtually and delivering actionable insights. These abilities ensure accurate interpretation of nutritional data, effective teamwork, and impactful contributions to health and wellness initiatives.
More about Nutrition Data Analyst Remote jobs
What cities are hiring for Nutrition Data Analyst Remote jobs? Cities with the most Nutrition Data Analyst Remote job openings:
What are the most commonly searched types of Nutrition Data Analyst jobs? The most popular types of Nutrition Data Analyst jobs are:
What states have the most Nutrition Data Analyst Remote jobs? States with the most job openings for Nutrition Data Analyst Remote jobs include:
Infographic showing various Nutrition Data Analyst Remote job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst (Remote)

Data Analyst (Remote)

NuView Analytics

Denver, CO • Remote

$80K - $100K/yr

Full-time

Re-posted 27 days ago


Job description

At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of humility, intellectual rigor, and stewardship we help companies gain a new perspective on their business through their data.

Salary: $80k100K + bonus + benefits
Location: 100% remote for US-based candidates

Responsibilities:

  • Candidate will complete data analytics and data science projects for clients
  • Candidate will work on client projects from start to finish scoping, onboarding, delivering
  • Candidate will train and develop new skills in both engagement process and data analytics skill sets when needed

Projects Include:

  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development

Qualifications:

  • Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 1-3 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, PowerBI, or Looker Proficiency including advanced calculations or advanced DAX
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)