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Remote Health Data Analyst Jobs in Massachusetts

Senior Health Data Consultant

Boston, MA ยท On-site +1

$120K - $160K/yr

This is a remote role. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance ... This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption ...

Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ... Analyze financial and operational data to identify ways to capture and report on trends, variances ...

Trauma data Analyst

Salem, MA ยท On-site +1

$17.71 - $25.28/hr

... patient health data. Additional Job Details (if applicable) Physical Requirements * Standing ... Hearing Constantly (67-100%) Remote Type Remote Work Location 3 Dove Ave Scheduled Weekly Hours 36 ...

Business / Data Analyst Clearance Level: Must have an Active Secret Clearance to be considered for ... Employees eligible for this benefit must work remote 2 days a week or more to qualify. Buy Your Own ...

Business / Data Analyst Clearance Level: Must have an Active Secret Clearance to be considered for ... Employees eligible for this benefit must work remote 2 days a week or more to qualify. Buy Your Own ...

Senior GTM Data Analyst

Boston, MA ยท On-site +1

$93K - $117K/yr

As the Senior GTM Data Analyst , you will shape how we understand and optimize our growth engine by owning the analytical truth layer across the entire revenue organization. In this high-impact role ...

Data Visualization Analyst

Lakeville, MA ยท On-site +1

$87K - $120K/yr

Ocean Spray is hiring for a(n) Data Visualization Analyst! We're a team of farmers, thinkers ... Health savings account * Flexible spending account * Life and accident insurance * Employee ...

Energy Analyst, Data Center Portfolio Responsibilities: * Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new and existing data center sites * Develop ...

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Showing results 1-20

Remote Health Data Analyst information

See Massachusetts salary details

$37.1K

$90.3K

$148.5K

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

As of Aug 24, 2026, the average yearly pay for remote health data analyst in Massachusetts is $90,253.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $105,900.00 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.

What are the most commonly searched types of Health Data Analyst jobs in Massachusetts?

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

What cities in Massachusetts are hiring for Remote Health Data Analyst jobs?

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

Infographic showing various Remote Health Data Analyst job openings in Massachusetts as of August 2026, with employment types broken down into 2% As Needed, 80% Full Time, 13% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $90,253 per year, or $43.4 per hour.

Senior Health Data Consultant

Gradient AI

Boston, MA โ€ข On-site, Remote

$120K - $160K/yr

Full-time

Re-posted 7 days ago


Job description

This is a remote role.

Gradient AI:
Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team.

About the Role:
We're looking for a Senior Health Data Consultant to partner closely with our clients and internally to drive adoption and value of Gradient AI's services within our Group Health products. This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption, renewal analytics, and risk interpretation—helping clients translate model outputs into clear underwriting and pricing decisions. This role blends technical depth (math, analytics, coding) with consultative client engagement. It is ideal for someone who is highly quantitative, comfortable working directly with AI-driven model outputs, and excited to guide clients through data-driven pricing and underwriting decisions.

How you will make an impact:
  • Engage directly with clients to provide advanced analytical support.
  • Lead pricing consultations for Group Health SAIL and Renewal products, helping clients interpret risk scores and model outputs.
  • Partner with internally with Client Services, Sales, Product, and Data Science to support our clients across new sales and renewals.
  • Analyze data using internal tools to evaluate pricing risk and provide recommendations.
  • Dive deep into AI-generated outputs to explain what model outputs and risk indicators mean in practical underwriting and pricing strategies.
  • Write and execute SQL and Python queries to analyze large datasets and evaluate submission performance.
  • Build and refine advanced Excel models to stress-test pricing assumptions and validate model results.
  • Clearly communicate complex mathematical and AI concepts to non-technical client stakeholders.
  • Help quantify ROI and performance improvements tied to our AI products
Skills needed to succeed:
  • 5+ years of experience in a healthcare analytics, population health, healthcare economics, or claims analysis role, with an actuarial perspective.
  • Strong quantitative background in Statistics, Mathematics, Economics, Analytics, or a related field.
  • Proficiency in Python and SQL required; advanced Excel skills required.
  • Ability to interpret complex statistical outputs and clearly communicate insights to non-technical stakeholders.
  • Analytical support for health insurance populations (e.g., renewal pricing, retention, trend management, or book-of-business optimization)
  • Comfortable engaging directly with clients in a consultative capacity and presenting analytical findings.
  • Proven experience building or refining pricing models, running data submissions, and validating model-driven results.
  • ASA certification is a plus.
  • Exposure to modern data platforms such as Databricks is a plus.
What We Offer:
  • A fun, team-oriented startup culture.
  • Generous stock options - we all get to own a piece of what we're building.
  • Unlimited vacation days.
  • Flexible schedule that supports working from home.
  • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
  • Ample opportunities to learn and take on new responsibilities.
We are an equal opportunity employer.

Salary Range: $120,000-160,000 base salary annually.
This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.