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Entry Level Health Data Analyst Jobs in Raleigh, NC

Minimum Qualifications Education Bachelor's degree in business administration, Healthcare Administration, Finance, Data Analytics, Pharmacy, Accounting, Information Systems, or a related field.

Health Information Specialist I

Chapel Hill, NC ยท On-site

$84K - $85K/yr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... is an entry level position responsible for processing all release of information (ROI ...

Health Information Specialist I

Chapel Hill, NC ยท On-site

$84K - $85K/yr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... is an entry level position responsible for processing all release of information (ROI ...

Health Information Specialist I

Chapel Hill, NC ยท On-site

$82K - $83K/yr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... is an entry level position responsible for processing all release of information (ROI ...

Showing results 21-40

Entry Level Health Data Analyst information

See Raleigh, NC salary details

$12

$32

$60

How much do entry level health data analyst jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for entry level health data analyst in Raleigh, NC is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $35.77 per hour, depending on experience, location, and employer.

What does an entry level health data analyst do?

As an entry-level health data analyst, your responsibilities are to gather medical records, billing records, and other health data and analyze them for a hospital or healthcare company. Your goal as a health data analyst is to identify trends in the data and suggest ways to improve treatment while lowering the cost of service provision within the healthcare company or medical care facility. Your specific duties include pulling medical records, researching medical databases, analyzing electronic health records, and developing reports from your analysis. Since this is an entry-level position, you may assist a more experienced analyst until you gain the necessary skills.

What are the key skills and qualifications needed to thrive as an entry level health data analyst, and why are they important?

To thrive as an Entry Level Health Data Analyst, you need a solid grasp of statistics, data analysis, and healthcare terminology, typically supported by a bachelor's degree in health informatics, statistics, or a related field. Familiarity with data analysis tools such as Excel, SQL, and statistical software like SAS or R, as well as experience with electronic health records (EHR) systems, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and present data insights clearly to diverse stakeholders. These competencies are crucial for transforming raw health data into actionable information that supports evidence-based decisions in healthcare organizations.

What are some typical challenges faced by entry level health data analysts and how can they overcome them?

Entry-level health data analysts often encounter challenges such as working with incomplete or inconsistent healthcare data, learning complex data management systems, and adapting to strict privacy regulations like HIPAA. To overcome these, new analysts should focus on developing strong data cleaning skills, seek mentorship from experienced colleagues, and stay updated with industry best practices. Effective communication with healthcare professionals and IT teams is also crucial for clarifying data requirements and ensuring accurate analysis.

What is the difference between Entry Level Health Data Analyst vs Health Data Specialist?

AspectEntry Level Health Data AnalystHealth Data Specialist
Required CredentialsBachelor's in health informatics, data science, or related field; basic knowledge of data analysis toolsBachelor's or associate degree; familiarity with health data systems and compliance standards
Work EnvironmentHealthcare organizations, clinics, or health IT companies; entry-level roles with supervisionHospitals, clinics, or health agencies; often involves managing health data systems
Employer & Industry UsageCommonly used in healthcare analytics teams, research, and reportingUsed in health information management, data entry, and system maintenance

In summary, Entry Level Health Data Analysts focus on analyzing healthcare data to support decision-making, while Health Data Specialists often handle data management and system operations. Both roles require familiarity with health data standards but differ in their primary responsibilities and skill sets.

What are the most commonly searched types of Health Data Analyst jobs in Raleigh, NC?

The most popular types of Health Data Analyst jobs in Raleigh, NC are:

What job categories do people searching Entry Level Health Data Analyst jobs in Raleigh, NC look for?

The top searched job categories for Entry Level Health Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Entry Level Health Data Analyst jobs?

Cities near Raleigh, NC with the most Entry Level Health Data Analyst job openings:

Infographic showing various Entry Level Health Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 49% Full Time, 34% Part Time, 3% Temporary, and 14% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $66,575 per year, or $32 per hour.

Remote Software Engineer (Java/Python & ML)

Fairweather, LLC

Durham, NC โ€ข On-site

Other

Posted 9 days ago


Job description

Synergisticit Job Opportunities

Since 2010, SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients.

Post Covid the tech layoffs have been massiveโ€”In 2022 there were 165,269 tech layoffs, in 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. Total layoffs as per this 555,871 tech layoffs. Client, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August. The job market is hyper-competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level job positions. Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get interviews and eventually a job offer. Survival of the fittest is the only way to get a tech job in this job market. In this layoffs fueled market also SynergisticIT's candidates are able to achieve multiple job offers and $100k+ salaries once they acquire the required skills.

We regularly interact with the top tech companies to give our candidates a competitive advantage. Please visit the below videos exhibiting at Oracle Cloud world/Oracle Java one (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

All positions are open for all visas and US citizens. We at SynergisticIT understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs etc to name a few. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.

Who should apply? Recent Computer science/Engineering/Mathematics/Statistics or Science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.

Required skills for Java/Full stack/DevOps positions:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Knowledge of Core Java, javascript, C++ or software programming
  • Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience

Required skills for Data Science/Data Analyst/AI/Machine learning positions:

  • Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude
  • Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools

Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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