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Nutrition Data Analyst Remote Jobs in Arizona (NOW HIRING)

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 ...

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

This position is local to our corporate campus located in Phoenix, AZ and is ineligible for fully remote work. As a Data Analyst, team members will be responsible for evaluating and improving U-Haul ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

From personal training to nutrition coaching, wellness to sports performance, NASM trainers and ... Remote will be considered within the continental United States. HOW YOU'LL SPEND YOUR TIME * Lead ...

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

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Nutrition Data Analyst Remote information

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 are the key skills and qualifications needed to thrive as a nutrition data analyst in a remote role?

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.

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 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 most commonly searched types of Nutrition Data Analyst jobs in Arizona?

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

What cities in Arizona are hiring for Nutrition Data Analyst Remote jobs?

Cities in Arizona with the most Nutrition Data Analyst Remote job openings:

Infographic showing various Nutrition Data Analyst Remote job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Analyst (REMOTE)

Arsenault Inc

Phoenix, AZ • Remote

$115K - $126K/yr

Full-time

Re-posted 16 days ago


Job description

Responsibilities

Responsible for ensuring the business makes better decisions through collection and usage of data. 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 reporting. Ability to collect, analyze, manipulate, and report on ARSENAULT data.

Essential Duties And Responsibilities

Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets.

Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs.

Defines data requirements and gathers and validates information, using judgment and statistical tests.

Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.

Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate ARSENAULT business units; Designs work flows and procedures.

Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.

Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).

Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization.

Other Duties as Assigned

Supervisory Responsibilities

No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers. May coordinate and assign tasks to co-workers within a work unit and/or project.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION And EXPERIENCE

Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work.

Communication Skills

Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.

FINANCIAL KNOWLEDGE

Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

REASONING ABILITY

Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.

OTHER SKILLS And ABILITIES

Experience with Microsoft BI stack (e.g., SSRS) a bonus.

Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook.

Strong analytical skills.

SCOPE OF RESPONSIBILITY

Decisions made with understanding of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.

In compliance with Colorados Equal Pay for Equal Work Act (EPEWA) we are disclosing the compensation, or a range thereof, for roles that will be, or could be, performed in Colorado.

If performed in Colorado, this position has a salary range of $115,000 - $126,000 with an opportunity for a company-wide annual discretionary bonus, through our PRP Bonus plan, of up to 10% of eligible pay.

ARSENAULT is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing.