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

As of Aug 20, 2026, the average hourly pay for part time healthcare business analyst in the United States is $43.69, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $52.16 per hour, depending on experience, location, and employer.

What is a part time healthcare business analyst?

A Part Time Healthcare Business Analyst is a professional who works on a part-time basis to evaluate and improve business processes within healthcare organizations. They analyze data, identify trends, and recommend solutions to increase efficiency, reduce costs, and enhance patient care. Their role may include collaborating with medical staff, IT teams, and management to implement new systems or improve existing ones. Working part-time, they often focus on specific projects or provide expertise as needed, offering flexibility for both the employer and employee.

What are the key skills and qualifications needed to thrive as a part time healthcare business analyst?

A Part Time Healthcare Business Analyst needs strong analytical skills, healthcare industry knowledge, and a background in business or information systems, usually supported by a relevant bachelor's degree. Familiarity with data analytics tools such as SQL, Excel, and healthcare management software like Epic or Cerner is typically required. Excellent communication, critical thinking, and the ability to manage time effectively are essential soft skills for this role. These competencies enable analysts to deliver actionable insights, improve healthcare operations, and ensure efficient project execution on a part-time schedule.

How does a part time healthcare business analyst typically collaborate with other departments within a healthcare organization?

Part-time Healthcare Business Analysts often work closely with clinical staff, IT professionals, and management to gather requirements, analyze data, and implement solutions that improve healthcare processes. Despite working reduced hours, they are usually included in key meetings and project updates to ensure alignment with organizational goals. Effective communication and time management are essential, as they must coordinate their limited availability with the schedules of full-time team members. This collaborative approach helps ensure that data-driven recommendations are actionable and support patient care and operational efficiency.

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

AspectPart Time Healthcare Business AnalystPart Time Healthcare Data Analyst
Required CredentialsBachelor's in Business, Healthcare, or related field; sometimes certifications like CBAPBachelor's in Data Science, Statistics, or related; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentHealthcare organizations, clinics, hospitalsHealthcare providers, research institutions, health tech companies
Employer & Industry UsageUsed for process improvement, project management, and business needsFocused on data analysis, reporting, and data-driven decision making

While both roles support healthcare organizations, the Healthcare Business Analyst primarily focuses on analyzing business processes and improving workflows, whereas the Healthcare Data Analyst concentrates on interpreting healthcare data to inform decisions. Both roles often require similar educational backgrounds but differ in their core responsibilities and skill sets.

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Part Time Healthcare Business Analyst jobs near you
Infographic showing various Part Time Healthcare Business Analyst job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $90,885 per year, or $43.7 per hour.

Senior Technical Business Analyst- Onshore (W)

V4C.ai

Remote

Part-time

Posted 3 days ago

New

Job description

Job Title: Senior Healthcare Business Analyst
Type: Part Time
Experience Level: Senior
V4C.ai is currently seeking a highly skilled and experienced Senior Business Analyst to join our team. In this critical role, you will be responsible for bridging the gap between business objectives and technology solutions, ensuring that our projects align with organizational goals and deliver maximum value. You will utilize your expertise in business analysis and data-driven decision-making to identify opportunities for improvement and drive successful project outcomes.
A Senior Healthcare Business Analyst (Databricks Data Engineering - Clinical & Pharma) designs data structures and business logic to support clinical trials, drug development, and patient care workflows. They bridge the gap between clinical researchers, biostatisticians, and data engineering teams to transform unstructured EHR data and clinical trial outputs into a unified Databricks Lakehouse.
Core Responsibilities
  • Clinical Data Elicitation: Partner with clinicians, researchers, and principal investigators to define data requirements for clinical registries, real-world evidence (RWE) studies, and therapeutic pipelines.
  • Clinical Data Architecture Mapping: Map complex, disparate source data (EHR systems like Epic/Cerner, Lab Information Management Systems, eCRFs, and genomic data) into a standardized Databricks Medallion Architecture (Bronze, Silver, Gold layers).
  • Pipeline & Standardization Logic: Translate complex clinical definitions (e.g., patient cohort inclusion/exclusion criteria) into functional specifications for data engineers using PySpark or Delta Live Tables.
  • GxP & Regulatory Compliance: Ensure all data pipelines, storage, and processing environments comply with FDA 21 CFR Part 11, GxP (Good Practice) guidelines, HIPAA, and data privacy frameworks.
  • CDISC Standardization Support: Oversee the transformation of raw operational data into industry-standard formats for regulatory submissions.

Technical Skills & Experience
  • Clinical Data Standards: Deep operational knowledge of CDISC standards (SDTM, ADaM), OMOP Common Data Model (CDM), FHIR, HL7, SNOMED-CT, and LOINC.
  • Databricks Environment: Strong working knowledge of Delta Lake, Unity Catalog (for managing clinical data access controls), and Databricks SQL dashboards.
  • Languages & Tools: Advanced SQL proficiency to profile messy clinical data; ability to read and interpret Python/R code within Databricks notebooks used by data scientists.
  • Data Auditing & Validation: Experience building data quality frameworks to track and audit data lineage from the patient bedside or lab bench to the final analytical dashboard.

Qualifications
  • Experience: 10+ years as a Business Analyst, with 3+ years in data engineering environments and 5+ years specifically within the pharmaceutical, biotech, or clinical research sectors.
  • Education: Bachelor's or Master's degree in Health Informatics, Biostatistics, Bioengineering, Computer Science, or a related field

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