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Part Time Healthcare Data Analyst Jobs (NOW HIRING)

Healthcare Data Analyst Sr.

VA · Remote

$88K - $111K/yr

Data Science and Bioinformatics Team - Healthcare Data Analyst Sr. Responsibilities of the Healthcare Data Analyst Sr. may include: * Support a major federal agency client in the improvement of ...

Data Analyst

Bridgeton, NJ · On-site

$150K/yr

Ensure data accuracy, integrity, and compliance with healthcare regulations (e.g., HIPAA, quality ... EEO CompleteCare offers full-time and part-time employees a variety of generous benefits, including ...

Copley Hospital has a variety of shifts available across Full-Time, Part-Time, and Per Diem needs ... Collect, analyze, and interpret healthcare data related to quality metrics, patient outcomes, and ...

Copley Hospital has a variety of shifts available across Full-Time, Part-Time, and Per Diem needs ... Collect, analyze, and interpret healthcare data related to quality metrics, patient outcomes, and ...

This position will give exposure to how healthcare data is used to support clinical research across ... Data Analysis & Solution Development * Analyze Loopback's large-scale healthcare data warehouse ...

Data Analyst

Bridgeton, NJ · On-site

$50K - $70K/yr

Ensure data accuracy, integrity, and compliance with healthcare regulations (e.g., HIPAA, quality ... EEO CompleteCare offers full-time and part-time employees a variety of generous benefits, including ...

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Part Time Healthcare Data Analyst information

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How much do part time healthcare data analyst jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for part time healthcare data analyst in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $42.31 per hour, depending on experience, location, and employer.

What is the difference between Part Time Healthcare Data Analyst vs Part Time Healthcare Data Coordinator?

AspectPart Time Healthcare Data AnalystPart Time Healthcare Data Coordinator
Required CredentialsBachelor's in Health Informatics, Data Science, or related field; certifications like CPC or CCDA beneficialBachelor's in Healthcare Administration, Health Information Management; certifications like RHIT or RHIA helpful
Work EnvironmentAnalyzing healthcare data, creating reports, supporting decision-making in clinics or hospitalsManaging data entry, coordinating data collection, ensuring data accuracy in healthcare settings
Employer & Industry UsageUsed by healthcare providers, insurance companies, and research organizationsEmployed by hospitals, clinics, and healthcare administrative offices

While both roles involve working with healthcare data, the Healthcare Data Analyst focuses on analyzing and interpreting data to inform decisions, whereas the Healthcare Data Coordinator manages data collection and accuracy. Understanding these differences helps in choosing the right part-time role based on your skills and career goals.

What does a Part Time Healthcare Data Analyst do?

A Part Time Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to support decision-making within medical organizations. Their duties often include preparing reports, identifying trends, and ensuring data accuracy, all while working a flexible or reduced-hour schedule. They may work with electronic health records, patient outcomes, and operational data to help improve patient care and organizational efficiency. This role typically requires strong analytical skills and familiarity with healthcare systems.

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

To thrive as a Part Time Healthcare Data Analyst, you need a solid understanding of data analysis, statistics, and healthcare terminology, typically supported by a degree in health informatics, statistics, or a related field. Familiarity with data analysis tools such as SQL, Excel, and visualization platforms like Tableau or Power BI, as well as experience with electronic health record (EHR) systems, is crucial. Strong attention to detail, critical thinking, and effective communication skills help analysts interpret and present complex data findings clearly. These skills enable accurate data-driven decision-making and support improved patient outcomes and organizational efficiency in the healthcare sector.

How do part time healthcare data analysts typically balance project deadlines and workload given limited weekly hours?

Part time healthcare data analysts often face the challenge of managing multiple projects or datasets within a restricted number of work hours. To succeed, they prioritize tasks based on urgency and impact, communicate proactively with team members about workload and expectations, and utilize project management tools to track progress. Effective time management and clear documentation are crucial, as they may need to hand off work or collaborate with full-time analysts. Regular check-ins with supervisors help ensure alignment on goals and realistic timelines.

Can you be a data analyst in healthcare?

Yes, healthcare data analysts analyze medical data to improve patient outcomes, optimize operations, and support decision-making. They typically use tools like Excel, SQL, and statistical software, and often require knowledge of healthcare regulations and data privacy standards.
What cities are hiring for Part Time Healthcare Data Analyst jobs? Cities with the most Part Time Healthcare Data Analyst job openings:
What are the most commonly searched types of Healthcare Data Analyst jobs? The most popular types of Healthcare Data Analyst jobs are:
What states have the most Part Time Healthcare Data Analyst jobs? States with the most job openings for Part Time Healthcare Data Analyst jobs include:
Healthcare Data Analyst Sr.

Healthcare Data Analyst Sr.

JP Systems, Inc.

VA • Remote

$88K - $111K/yr

Part-time

Posted 13 days ago


Job description

Join our JPSys team and make a difference in the future of global healthcare!


J P Systems provides professional services in support of the CDC. Be part of a project team influencing the future of Public Health data management by helping us to analyze and improve workflowsacross the Federal Government.Our mission is to standardize, manage and improve the usability of clinical data for Public Health.


Data Science and Bioinformatics Team - Healthcare Data Analyst Sr.


Responsibilities of the Healthcare Data Analyst Sr. may include:

  • Support a major federal agency client in the improvement of clinical data quality and health information exchange with Community Care health partners.
  • Identify, propose, create and implement data queries on existing Clinical data sets, perform analysis, develop quality metrics, and suggest process improvements.
  • Produce data analytic visuals and reports to communicate clinical data analysis results.
  • Ability to present and defend the analytical reports, including assumptions used and recommendations, to individuals in a wide variety of healthcare roles, such as clinicians, informaticists, healthcare exchange networks, and business decision makers.
  • Ability to interface with clinical data quality/data analysts and project team personnel and the client's Program Office team and create clear data analysis reports effectively and efficiently.
  • Identify and research concerns and problem areas.
  • Involved in the development of Quality Assurance (QA) metrics, sampling strategies, and analyses.


Project Requirements:

  • Maintain workload metrics on analytic activities.
  • Ensure project documentation is accessibility compliant.
  • Communicate and work as cohesive team member, who can discuss and educate team members on new analytic metrics and studies.


Skills and Qualifications:

  • Must have 5 - 9 years' experience for this role.
  • Must have the skills and expertise to support data science tools (Databricks, Spark, Jupyter, R, Machine Learning, SAS) to produce statistical tables, reports and data analysis of healthcare data.
  • Provide expertise in machine learning and artificial intelligence including cloud-based tools.
  • Provide expertise in bioinformatics and data science programming languages (e.g., R, Python, Perl).
  • Provide expertise in Bioinformatics and development of genomics workflows (E.g. Nextflow Tower)
  • Provide cloud-based data science support including:
  • Cloud-based SQL and non-SQL server, which may include databases such as SQL Server as a service, Data Lake technology, such as Databricks Delta Lake, and Data Warehousing ii. iii.
  • Object-oriented design principles and patterns and be able to apply those principles in designing object-oriented code and architectures. MS Azure Delta Lake, Databricks, Kubernetes, and other cloud-based analytics tools within Azure and AWS where appropriate Develop and utilize statistical and analytical procedures for producing reports and performing data engineering, wrangling, exploration, and usage for qualitative, statistical, biological, and geospatial data formats.
  • Provide trend analysis to make informed decisions regarding resource management. i. Assist in the planning, review, and reporting of data/statistical results of program/project studies.
  • Provide expertise in the design of schemas / data structures and the use of unified modeling language (UML) to define data relationships. Implement correlation and regression analysis (linear, logistic, log linear) techniques, time series and principles based on time series analysis. Use an assortment of sampling methodologies.
  • Able to multitask and handle multiple priorities with a calm, positive attitude, and professional manner.
  • Ability to communicate effectively in written and verbal form.
  • Demonstrated ability to be self-starter and be able to work with all types of personnel with a professional attitude.
  • Excellent time management, organizational, and multi-tasking skills.
  • Must be a technically savvy, highly self-motivated and independent worker.
  • Highly developed soft skills / people skills and a positive attitude.
  • Virtual meeting software experience such as MS Teams is required.


Educational Requirements:

  • A bachelor's degree or an associate degree plus 2 years relevant experience, or 4 years relevant experience required in Information Systems, Computer Science, Nursing, Medicine, Public Health, Medical Informatics, Statistics or other relevant clinical discipline is required.


Educational Equivalents:

  • An associate's degree plus 2 years' experience may be used as an equivalent to a BA degree or 4 years' experience may be used as an equivalent to a BA.


Although we are 100% virtual, you must be located in one of our hiring states of AZ, CO, FL, GA, ID, IL, MD, MI, SC, TX, VA, WI, or WV

Must have high speed internet connection.

Relocation:Not paid

J P Systems does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Please note that our pay ranges are carefully researched and set based on the requirements of the position. The salary range is displayed under Compensation for each position. If you feel you qualify for a more senior level position than the ones advertised, please feel free to instead submit your resume from our Open Jobs webpage for consideration.