1

Data Healthcare Jobs (NOW HIRING)

Healthcare Data Engineer

New York, NY ยท Remote

$117K - $140K/yr

Experience with healthcare data and health forms. Analytics: Experience in advanced analytics. Required Skills Professionalism: Handles confidential information with sensitivity and maintains high ...

The ideal candidate can translate complex healthcare data into actionable insights and clearly communicate data-driven recommendations to clinical, operational, and executive stakeholders. This ...

Our strength in healthcare innovation empowers us to build aworld where complex diseases are ... Data Governance & Policy Job Category: Professional All Job Posting Locations: Beerse, Antwerp ...

Our strength in healthcare innovation empowers us to build aworld where complex diseases are ... Data Governance & Policy Job Category: Professional All Job Posting Locations: Beerse, Antwerp ...

As a Senior Healthcare Data Analyst for Accompany Health you will be: * A mission-critical, early part of our growing finance team (and company) * Help to build the data assets, processes and models ...

Job Summary Performs research and analysis of complex healthcare claims data, pharmacy data, and lab data regarding network utilization and cost containment information. Evaluates, writes, and ...

Analyst, Healthcare

Jacksonville, FL ยท Remote

$19.84 - $38.69/hr

Job Summary Performs research and analysis of complex healthcare claims data, pharmacy data, and lab data regarding network utilization and cost containment information. Evaluates, writes, and ...

Analyst, Healthcare

Orlando, FL ยท Remote

$19.84 - $38.69/hr

Job Summary Performs research and analysis of complex healthcare claims data, pharmacy data, and lab data regarding network utilization and cost containment information. Evaluates, writes, and ...

next page

Showing results 1-20

Data Healthcare information

See salary details

$46K

$165K

$243.5K

How much do data healthcare jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data healthcare in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What do healthcare data analysts do?

Healthcare data analysts collect, analyze, and interpret medical and operational data to improve patient outcomes, optimize healthcare processes, and support decision-making. They use tools like Excel, SQL, and data visualization software, and often require knowledge of healthcare regulations and data privacy standards.

What is a Data Healthcare professional?

A Data Healthcare professional is someone who specializes in leveraging data analysis, management, and technology to improve healthcare outcomes. They work with medical and patient data to identify trends, support clinical decisions, optimize operations, and ensure compliance with healthcare regulations. These professionals may collaborate with clinicians, administrators, and IT teams to develop data-driven solutions that enhance patient care and organizational efficiency.

What is the difference between Data Healthcare vs Data Analyst?

AspectData HealthcareData Analyst
Required CredentialsDegree in healthcare, health informatics, or related field; certifications like Certified Health Data Analyst (CHDA)Degree in statistics, mathematics, or related field; certifications like Microsoft Certified Data Analyst
Work EnvironmentHealthcare settings, hospitals, clinics, health tech companiesVarious industries including finance, marketing, healthcare, and tech
Employer & Industry UsageHealthcare providers, health tech firms, insurance companiesBroad industry use, including healthcare, finance, retail, and more

Data Healthcare professionals focus on analyzing health-related data within healthcare settings, often requiring healthcare-specific knowledge and certifications. Data Analysts have a broader scope, working across multiple industries with skills in data manipulation and analysis. While both roles involve data interpretation, Data Healthcare specialists are tailored to the healthcare industry, making their expertise more specialized in health data management and compliance.

What are the key skills and qualifications needed to thrive as a Healthcare Data Analyst, and why are they important?

To thrive as a Healthcare Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in health informatics or a related field. Familiarity with data analysis tools like SQL, Python, R, and experience with electronic health record (EHR) systems or healthcare databases are typically required. Attention to detail, problem-solving abilities, and effective communication help you interpret and present complex data insights to diverse stakeholders. These skills are vital for transforming raw health data into actionable information that improves patient outcomes and organizational efficiency.

What are some common challenges faced by professionals in Data Healthcare roles, and how can they be addressed?

Data Healthcare professionals often encounter challenges related to data privacy, integrating information from diverse healthcare systems, and ensuring data accuracy. Navigating strict regulatory requirements like HIPAA can make managing sensitive patient data complex. To address these issues, it's important to stay current with compliance standards, develop strong data governance practices, and foster close collaboration with IT, clinical, and administrative teams. Regular training and clear communication channels also help ensure data integrity and security.
More about Data Healthcare jobs
What cities are hiring for Data Healthcare jobs? Cities with the most Data Healthcare job openings:
What states have the most Data Healthcare jobs? States with the most job openings for Data Healthcare jobs include:

Healthcare Data Engineer

1 point system

New York, NY โ€ข Remote

$117K - $140K/yr

Contractor

Posted 13 days ago


Job description

You will work with the development team to build and maintain our legacy claim auditing system. You will analyze the needs and the environment to ensure the solutions you develop consider the current architecture and operating environment, as well as future functionality and enhancements.

Job Duties & Responsibilities

Domain Expertise: Maintain a strong knowledge of medical claims, member data, and provider data.

Agile Development: Participate actively in Agile-based projects.

System Maintenance: Modify existing programs to align with new standards.

Testing & Deployment:

Conduct unit testing of all developed programs.

Create migration packages for system testing, user testing, and implementation.

Job Requirements

Education: Masterโ€™s or Bachelorโ€™s degree in Engineering (IT, Electronics, Communication, Computer Science, or Information Systems).

Database Expertise: Extensive experience with large datasets and relational databases, specifically Microsoft SQL Server.

Technical Stack: Proficiency in SQL, PL/SQL, T-SQL, Hadoop, Python, and Java.

Optimization: Hands-on experience in SQL optimization and tuning using SQL Profiler and Query Execution Plans.

Methodology & Lifecycle:

In-depth understanding of the SDLC.

Experience working in Agile environments.

Data Operations:

Experience with ETL processes and QA within a SQL environment.

Experience addressing operational data issues and ensuring optimal performance.

Healthcare Domain: Experience with healthcare data and health forms.

Analytics: Experience in advanced analytics.

Required Skills

Professionalism: Handles confidential information with sensitivity and maintains high ethical standards.

Interpersonal: Develops positive working relationships and possesses strong communication skills.

Teamwork: Shares ideas and information freely; proactively assists colleagues unprompted.

Mindset: Passionate about technology, self-motivated, and committed to continuous learning.

Desired Skills & Experience

Advanced Frameworks: Knowledge of SAFe (Scaled Agile Framework) or other Agile frameworks.

Big Data Tech: Experience with PySpark and Cloudera Hadoop.

Skills & Competencies

Communication: Excellent verbal and written communication skills.

Adaptability: Strong organizational skills with the ability to adapt to rapidly changing priorities and workloads.

Autonomy: Ability to work well independently and maintain focus in a highly dynamic work environment.

Global Collaboration: Comfort working with remote team members located in the US, India, or other geographies.