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Part Time Healthcare Data Analyst Jobs in Raleigh, NC

Varsity Tutors

Data Science Tutor

Durham, NC · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

NCSU

Business Intelligence Analyst

Raleigh, NC

Maximizing the value and availability of institutional data resources for the broader NC State ... Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status.

NCSU

Data Science Librarian

Raleigh, NC

... creation, data analysis and visualization, and collaboration. Three branch libraries focus on ... Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status.

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All JobsHealthcare Data Analyst JobsPart Time Healthcare Data Analyst JobsPart Time Healthcare Data Analyst Jobs in Raleigh, NC

Part Time Healthcare Data Analyst information

See Raleigh, NC salary details

$10

$36

$60

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

As of Aug 9, 2026, the average hourly pay for part time healthcare data analyst in Raleigh, NC is $36.29, according to ZipRecruiter salary data. Most workers in this role earn between $28.27 and $41.11 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 skills and qualifications are needed to thrive as a part time healthcare data analyst?

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 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.
What are the most commonly searched types of Healthcare Data Analyst jobs in Raleigh, NC? The most popular types of Healthcare Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Part Time Healthcare Data Analyst jobs? Cities near Raleigh, NC with the most Part Time Healthcare Data Analyst job openings:
Part Time Healthcare Data Analyst jobs near you
Infographic showing various Part Time Healthcare Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,474 per year, or $36.3 per hour.

Data Science Tutor

Varsity Tutors

Durham, NC • Remote

$18 - $40/hr

Part-time

Re-posted 8 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Data Science Tutor
  • Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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