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Part Time Healthcare Data Analyst Jobs (NOW HIRING)

Aptive

Data Analyst, Sr - AI Research Systems Support

$88K - $111K/yr

The ideal candidate will have experience supporting analytics, reporting, statistical analysis, and enterprise data operations in healthcare, research, or enterprise operational environments. This is ...

Booz Allen Hamilton, Inc.

Data Analyst

Charlottesville, VA · On-site

$61K - $141K/yr

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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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:
Part Time Healthcare Data Analyst jobs near you
Data Analyst, Sr - AI Research Systems Support

Data Analyst, Sr - AI Research Systems Support

Aptive

Remote

$88K - $111K/yr

Part-time

Posted 4 days ago

Aptive Environmental rating

5.3

Company rating: 5.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

29th of 31 rated pest control companies

Job description

Job Summary
Aptive Resources is seeking a Senior Data Analyst to support artificial intelligence (AI), analytics, and data modernization initiatives within the Department of Veterans Affairs (VA) Office of Research and Development (ORD). This role supports enterprise AI activities focused on research portfolio analysis, operational reporting, AI-enabled analytics, and development of scalable data capabilities supporting research, policy, and operational decision-making.
The Senior Data Analyst will support data analysis, reporting, statistical programming, and analytics activities associated with strategic AI initiatives, research operations, and enterprise modernization efforts. The position will work closely with technical teams, project managers, operational leadership, and stakeholders to support data integration, reporting automation, AI pilot initiatives, and analytics-driven operational improvements.
The ideal candidate will have experience supporting analytics, reporting, statistical analysis, and enterprise data operations in healthcare, research, or enterprise operational environments.
This is a full-time (40 hours/week), 100% remote position.
It is currently funded through September 29, 2026 under the current contract period of performance, with potential for extension into the next option year based on contract continuation and program needs.
Primary Responsibilities
  • Support analytics and reporting activities associated with enterprise AI, research, and operational modernization initiatives.
  • Develop and maintain dashboards, reports, data visualizations, and operational analytics supporting leadership decision-making.
  • Perform data extraction, transformation, analysis, validation, and reporting activities across multiple enterprise data sources.
  • Support development and optimization of ETL workflows, reporting processes, and analytics activities.
  • Conduct statistical programming, data analysis, and operational reporting activities supporting research and organizational priorities.
  • Support AI-enabled analytics initiatives, including activities involving large language models (LLMs), retrieval workflows, and operational data analysis.
  • Assist with development of scalable analytics workflows and rapid testing approaches to improve operational efficiency and reporting responsiveness.
  • Support integration and analysis of data from research systems, operational platforms, databases, and cloud-based environments.
  • Collaborate with technical and operational stakeholders to support AI pilots, analytics initiatives, and reporting priorities.
  • Support data quality management, validation, and continuous improvement activities.
  • Prepare summaries, presentations, dashboards, and executive-level reporting materials for technical and non-technical audiences.

Minimum Qualifications
  • Bachelor's degree in data science, statistics, computer science, healthcare informatics, mathematics, public health, or a related field.
  • 8+ years of experience supporting data analytics, reporting, statistical programming, or enterprise data operations in a complex organization.
  • Experience with SQL, Python, ETL processes, databases, and analytics/reporting environments.
  • Experience developing dashboards, reports, data visualizations, or business intelligence solutions.
  • Experience supporting cloud-based analytics, data warehouse, or data lake environments.
  • Familiarity with AI/ML technologies, large language models (LLMs), or AI-enabled analytics workflows.
  • Strong analytical and problem-solving skills with the ability to synthesize complex data into actionable insights.
  • Experience supporting data quality management and validation activities.
  • Ability to communicate technical findings clearly to executive and non-technical stakeholders.
  • Proficiency with Microsoft Office Suite, including Excel and PowerPoint.
  • Ability to work independently in a remote environment while managing multiple priorities.
  • Ability to obtain and maintain a public trust clearance.
  • Legal authorization to work in the United States.

Desired Qualifications
  • Experience supporting VA, VHA, federal healthcare, research, or enterprise analytics environments.
  • Experience with Power BI, Tableau, or similar business intelligence and visualization platforms.
  • Experience supporting AI-enabled analytics, retrieval workflows, or data-driven reporting solutions.
  • Familiarity with REDCap, healthcare data systems, or research data environments.
  • Experience supporting operational analytics, portfolio analysis, or reporting modernization initiatives.
  • Familiarity with cloud platforms such as Azure or AWS.
  • Experience working in fast-paced, matrixed environments supporting multiple concurrent priorities.
  • High degree of professionalism, discretion, and mature judgment in handling sensitive information.

About Aptive
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation.
We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day.
Founded: 2012
Employees: 300+ nationwide
EEO Statement
Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.
Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

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