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Remote Health Data Analyst Jobs in Arizona (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

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 ...

Contexture

Senior Data Governance Analyst

Phoenix, AZ · Remote

$6.9K - $8.0K/mo

... transform health care delivery. This position is based in Phoenix Arizona; Denver Colorado; or ... Interpersonal skills to train, mentor, and delegate tasks to other team members in a remote ...

YO AI Labs

Analytics Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... You will work with dashboards, reports, KPIs, data visualizations, and leading BI platforms to ...

YO AI Labs

AI Consulting Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

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.

Workiva

Spring 2027 Intern - Data Analytics

Phoenix, AZ · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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All JobsHealth Data Analyst JobsRemote Health Data Analyst JobsRemote Health Data Analyst Jobs in Arizona

Remote Health Data Analyst information

See Arizona salary details

$31.7K

$77K

$126.7K

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

As of Sep 8, 2026, the average yearly pay for remote health data analyst in Arizona is $77,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is a remote health data analyst?

A Remote Health Data Analyst is a professional who works primarily from a remote location to collect, process, and analyze healthcare data. They use statistical tools and software to interpret data from medical records, insurance claims, patient surveys, and other health information sources. Their insights help healthcare organizations improve patient care, optimize operations, and ensure regulatory compliance. Remote Health Data Analysts often collaborate with medical staff, IT teams, and administrators using digital communication tools. This role requires strong analytical skills, attention to detail, and proficiency in data management systems.

What does a remote health data analyst do?

The job duties of a remote health data analyst include performing analysis on datasets related to the healthcare industry. In this career, you may work from home to gather relevant data from different sources, such as medical records, operational logs, and billing databases. The responsibilities of a health data analyst include using data to define healthcare trends, seek out areas for cost reduction, and analyze the cost and effectiveness of treatments. As a telecommute worker, you send reports to healthcare management personnel electronically, and you may have to communicate with them to answer questions after report submission.

What are the key skills and qualifications needed to thrive as a remote health data analyst?

To thrive as a Remote Health Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and at least a bachelor's degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems and data visualization platforms like Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating remotely with teams. These skills ensure accurate data insights, enable informed decision-making, and support the delivery of efficient healthcare services from a remote environment.

How does a remote health data analyst typically collaborate with healthcare teams while working offsite?

Remote Health Data Analysts frequently collaborate with clinicians, IT professionals, and data scientists through digital communication tools such as video conferencing, secure messaging, and shared data platforms. Regular virtual meetings are common to discuss project progress, clarify data requirements, and ensure alignment on healthcare outcomes. While working remotely offers flexibility, it also requires proactive communication and strong organizational skills to manage multiple projects and maintain data security standards. Building trust and maintaining clear documentation are essential for effective remote teamwork in this role.
More about Remote Health Data Analyst jobs

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

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For Remote Health Data Analyst jobs in Arizona, the most frequently searched job titles are:

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

Remote Health Data Analyst jobs near you
Infographic showing various Remote Health Data Analyst job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $77,011 per year, or $37 per hour.

AI Data Science Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$100 - $200/hr

Part-time

Posted 27 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.