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Healthcare Analytics Jobs in Rhode Island (NOW HIRING)

Data Engineer 1

Providence, RI · On-site

$85 - $110/hr

The Data Engineer I supports healthcare analytics and data engineering projects through development of SQL workflows, reporting solutions, data transformations, and analytic datasets. This is a ...

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

The Data Engineer I supports healthcare analytics and data engineering projects through development of SQL workflows, reporting solutions, data transformations, and analytic datasets. This is a ...

RI · On-site

$69K - $99K/yr

Summary As a Senior Business Analyst - Healthcare at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the ...

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Showing results 1-20

Healthcare Analytics information

See Rhode Island salary details

$3.2K

$6.2K

$8.8K

How much do healthcare analytics jobs pay per month?

As of Sep 6, 2026, the average monthly pay for healthcare analytics in Rhode Island is $6,160.50, according to ZipRecruiter salary data. Most workers in this role earn between $5,591.67 and $6,566.67 per month, depending on experience, location, and employer.

What is healthcare analytics?

Healthcare analytics is the process of analyzing data collected from various healthcare sources—such as electronic health records, billing systems, and medical devices—to improve patient care, optimize operations, and reduce costs. By leveraging statistical and computational methods, healthcare analytics helps organizations identify trends, predict outcomes, and make evidence-based decisions. This field plays a crucial role in enhancing the quality and efficiency of healthcare delivery.

What are the qualifications to get a job in healthcare analytics?

The qualifications that you need to start a career in healthcare analytics may depend on your career choices and job duties. Employers often expect a bachelor’s or master’s degree in statistics, applied mathematics, or science. Some companies prefer previous experience working with healthcare data. In addition to mathematical and analytical skills, you need an understanding of privacy regulations related to healthcare information. You can gain job experience and knowledge of healthcare rules by working in an internship during your undergraduate studies.

What are the key skills and qualifications needed to thrive in healthcare analytics, and why are they important?

To thrive in Healthcare Analytics, you need a solid background in data analysis, statistics, and healthcare systems, typically supported by a degree in health informatics, statistics, or a related field. Familiarity with tools such as SQL, Python, R, and healthcare data platforms like Epic or Cerner is essential, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong communication, problem-solving abilities, and attention to detail are standout soft skills in this role. These competencies are crucial for transforming complex healthcare data into actionable insights that improve patient outcomes and operational efficiency.

How does a healthcare analytics professional typically collaborate with clinical and administrative teams?

Healthcare Analytics professionals often serve as a bridge between data and decision-making teams. They regularly work with clinical staff to understand patient care workflows and with administrative teams to identify operational challenges. Through meetings, data sharing, and collaborative projects, they help translate complex data findings into actionable insights that improve patient outcomes and efficiency. This cross-functional collaboration is essential to ensure that analytics solutions are relevant, practical, and aligned with organizational goals.

What is the difference between Healthcare Analytics vs Data Analyst in healthcare?

AspectHealthcare AnalyticsData Analyst in healthcare
Required CredentialsBachelor's or master's in health informatics, data science, or related fields; knowledge of healthcare systemsBachelor's in data science, statistics, or related fields; some healthcare knowledge beneficial
Work EnvironmentHospitals, healthcare organizations, health tech companiesHealthcare providers, research institutions, health insurance companies
Employer & Industry UsageFocuses on analyzing healthcare data to improve patient outcomes and operational efficiencyAnalyzes healthcare data for reporting, insights, and decision support

Healthcare Analytics professionals specialize in interpreting healthcare data to enhance patient care and operational processes, often requiring healthcare-specific knowledge. Data Analysts in healthcare perform similar data analysis tasks but may have a broader focus across industries, with less emphasis on healthcare-specific expertise. Both roles are vital in healthcare settings, but Healthcare Analytics roles typically demand more specialized healthcare knowledge and experience.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It requires skills in statistics, data management, and tools like SQL and Python, with certifications often enhancing job prospects. The role offers opportunities in various healthcare settings and typically involves regular working hours with a focus on data-driven decision making.

What can you do with a healthcare analytics degree?

A healthcare analytics degree prepares individuals for roles such as healthcare analyst, data analyst, or health informatics specialist. Graduates can work in hospitals, insurance companies, or public health organizations, analyzing data to improve patient outcomes, optimize operations, and support decision-making using tools like SQL, Excel, and statistical software.

What does a healthcare analyst do?

A healthcare analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They often use statistical tools and electronic health records, and may require knowledge of healthcare regulations and data management skills.

What are the most commonly searched types of Healthcare Analytics jobs in Rhode Island?

The most popular types of Healthcare Analytics jobs in Rhode Island are:

What cities in Rhode Island are hiring for Healthcare Analytics jobs?

Cities in Rhode Island with the most Healthcare Analytics job openings:

Infographic showing various Healthcare Analytics job openings in Rhode Island as of August 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 66% Full Time, 19% Part Time, and 12% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $73,926 per year, or $35.5 per hour.

Data Engineer 1

Freedman HealthCare

Providence, RI • On-site

$85 - $110/hr

Other

Re-posted 5 days ago


Job description

Data Engineer I (Rhode Island)

Hybrid

Freedman HealthCare LLC (FHC) is a growing Massachusetts-based consulting firm with a national footprint. We have helped more than 25 states build and use healthcare data to improve care quality, affordability, and equity. We aim to be the partner of choice for policymakers and changemakers who use data to transform healthcare and promote health, wellbeing, and justice. Freedman HealthCare is an entrepreneurial, fast-paced, and growing consultancy with a culture of teamwork, open communication, and meeting exacting standards.

Job Summary:

The Data Engineer I supports healthcare analytics and data engineering projects through development of SQL workflows, reporting solutions, data transformations, and analytic datasets. This is a hybrid role that combines analytics, reporting, and technical data management responsibilities in a collaborative consulting environment.

Working closely with analysts, consultants, health policy experts, and healthcare stakeholders, you will support projects focused on healthcare quality, affordability, access, and equity. Responsibilities may include developing SQL queries, validating and transforming healthcare data, supporting dashboards and reporting deliverables, maintaining ETL workflows, and assisting with development of scalable analytic datasets and data structures.

This role is ideal for someone with a strong analytical mindset who enjoys both problem solving and technical data work, and who is interested in growing across both healthcare analytics and data engineering disciplines.

This is a hybrid position with two days per week in-office in downtown Providence, Rhode Island (Tuesdays and Wednesdays) and three remote days (subject to change).

Duties/Responsibilities:
  • Develop and maintain data pipelines, ETL processes, and workflows to collect, clean, and transform data from various sources into usable formats
  • Ensure data integrity, quality, and accuracy throughout the data processing lifecycle
  • Analyze and interpret health insurance exchange data and related datasets to identify patterns, trends, and insights
  • Generate reports, dashboards, and visualizations to communicate findings effectively to non-technical stakeholders
  • Design, develop, and maintain databases, data models, and schemas for efficient storage and retrieval of data
  • Collaborate with cross-functional teams to understand business requirements and translate them into data solutions
  • Stay up to date with emerging technologies, industry trends, and best practices in data analysis, engineering, and visualization
  • Identify opportunities to improve data infrastructure, processes, and analytics capabilities
Required Skills/Abilities:
  • Knowledge of health insurance, health insurance exchanges, the Affordable Care Act (ACA), customer service, and outreach
  • Knowledge of US healthcare policy, trends, and factors such as eligibility, utilization, cost, and equity
  • Knowledge of state government role in healthcare
  • Strong proficiency in SQL and data analysis, within Microsoft SQL Server, Oracle SQL Developer, and PL/SQL environments
  • Experience with Tableau and Excel experience with Power BI or similar visualization platforms preferred
  • Proficiency in data profiling, manipulation, and transformation using tools such as Pandas, Python, or similar
  • Experience working with cloud or warehouse platforms such as Amazon Redshift preferred
  • Familiarity with additional database platforms and data environments is a plus
  • Excellent problem-solving, critical thinking, and analytical skills, with keen attention to detail
  • Strong communication and collaboration abilities, with the capacity to present complex findings in a clear and concise manner
  • Ability to work effectively in a fast-paced consulting environment
Education and Experience Requirements:
  • Bachelor’s or Master’s degree in healthcare administration, data science, statistics, or equivalent work experience preferred
  • 2+ years of experience in healthcare analytics, reporting, or related technical roles preferred
  • Experience working with healthcare claims or health insurance exchange data preferred
Physical Requirements:
  • Prolonged periods sitting at a desk and working on a computer
Note:
  • Vaccination for COVID-19 is required and FHC will consider accommodations for disability- and religious-based reasons.
  • The job description provided above is a general outline and may be subject to modifications based on specific organizational requirements.

Freedman HealthCare, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We strongly encourage applications and inquiries from women, LGBTQIA+ identified persons, Black, Indigenous, People of Color, people with disabilities, and others from historically underrepresented communities. We believe that embracing diversity in our workplace is essential to achieving the best results for our clients and as an organization.

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