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Entry Level Health Data Analyst Jobs in Raleigh, NC

SynergisticIT

Entry Level Data Analyst

Raleigh, NC · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

LTM

Data Analyst Data Analyst

Raleigh, NC · On-site

Role description Role Data Analyst Insurance Onshore ClientFacing Domain Insurance PC Life Health Work Location USA Raleigh North Carolina Mandatory Technical Skills Primary Insurance Domain ...

SynergisticIT

Junior Data Analyst

Raleigh, NC · On-site

Currently, we are looking for: * Entry-level software programmers * Java Full stack developers * Python/Java developers * Data analysts/Data Scientists * Machine Learning engineers for full time ...

Labcorp

Senior Data Analyst

Durham, NC · On-site

$83.10K - $104.80K/yr

Senior Data Analyst - Real World Data Location: Durham NC, or Burlington NC, Applicants who live ... This role is a great fit for someone who enjoys digging into messy healthcare data, asking sharp ...

Personal Genome Diagnostics

Senior Data Analyst

Durham, NC · Hybrid

$80K - $120K/yr

Senior Data Analyst -- Real World Data Location: Durham NC, or Burlington NC. Applicants who live ... This role is a great fit for someone who enjoys digging into messy healthcare data, asking sharp ...

New

Labcorp

Senior Data Analyst

Durham, NC · Hybrid

$83.10K - $104.80K/yr

Senior Data Analyst - Real World Data Location: Durham NC, or Burlington NC, Applicants who live ... This role is a great fit for someone who enjoys digging into messy healthcare data, asking sharp ...

CIMA

Data Analyst- Psychometric Testing

Durham, NC · Remote

$70K - $80K/yr

You will perform programming and data analysis for the Psychometrics and Research team. You will ... We provide resources that support your mental health, and evolve our offerings to meet your needs.

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Entry Level Health Data Analyst information

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$12

$32

$60

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

As of May 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.

Can I get a data analyst job with no experience?

Entry level health data analyst positions often require some familiarity with data analysis tools like Excel, SQL, or statistical software, but many employers are willing to consider candidates with limited experience if they demonstrate strong analytical skills and relevant education or certifications. Gaining experience through internships, online courses, or certifications can improve your chances of securing such roles. Entry level roles typically focus on training and skill development for new analysts.

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.

More about Entry Level Health Data Analyst jobs
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 are popular job titles related to Entry Level Health Data Analyst jobs in Raleigh, NC? For Entry Level Health Data Analyst jobs in Raleigh, NC, the most frequently searched job titles 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:
Entry Level Health Data Analyst jobs near you
Infographic showing various Entry Level Health Data Analyst job openings in Raleigh, NC as of May 2026, with employment types broken down into 3% As Needed, 68% Full Time, 19% Part Time, and 10% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $66,575 per year, or $32 per hour.
Health Data Analyst - AI Trainer

Health Data Analyst - AI Trainer

DataAnnotation

Raleigh, NC • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

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