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Health Data Analyst Jobs in Raleigh, NC (NOW HIRING)

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 ...

They are seeking a Data Analyst to work closely with client stakeholders, analyze large datasets, and develop insights to support business decision-making. Responsibilities : • Work closely with ...

Cardinal Health Sonexus™ Access and Patient Support helps specialty pharmaceutical manufacturers ... Works with complex datasets to perform exploratory data analysis to provide insights to make ...

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Data Analyst

Raleigh, NC · On-site

$72.50K - $80K/yr

The data analyst will be responsible for analyzing large data sets, creating visualizations, and generating reports that support data-driven decision making. You will need to be able to create ...

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Data Analyst

Raleigh, NC · On-site

$72.50K - $80K/yr

The data analyst will be responsible for analyzing large data sets, creating visualizations, and generating reports that support data-driven decision making. You will need to be able to create ...

Senior Business / Data Analyst The Senior Business / Data Analyst will provide analysis leadership on several complex data analysis projects with diverse scopes across the DEQ enterprise. The DEQ ...

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Data Analyst Manager The role involves facilitating requirement sessions with business partners, articulating business requirements into Agile/Scrum story format, and working within the technology ...

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Data Analyst

Raleigh, NC · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) * Short-Term and Long-Term ...

Data Analyst Assignment Duration: 4-month, possible extension Hours: M-F 8am - 5pm EST or CST preferred Location: Remote Why is this role open? (Coverage, looking for perm, etc.) To complete an ...

You will work closely with our team of professionals, assisting in designing, implementation and modeling data warehouse systems, developing BI reporting and analysis applications, and supporting our ...

Job Title - Data Analyst Location - Research Triangle Park, NC Duration - 6+ Months Contract Total Hours/week - 40.00 1st Shift Client: Medical Device Company Employment Type: Contract on W2 (Need US ...

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Data Analyst Minimum Requirements: Proficient in Microsoft Office applications; Outlook, Excel, PowerPoint, OneNote, including running pivot tables, reports Ability to priority tasks as escalations ...

Senior Data Analyst

Raleigh, NC · On-site

$83.60K - $105.50K/yr

What Data Analytics contributes to Cardinal Health: The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business ...

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Sr. Data Analyst, Worldwide Support

Durham, NC · On-site

$83.10K - $104.80K/yr

Experience with product telemetry, product usage data, or system health data * Experience analyzing case trends, defect trends, upgrade success/failure, product adoption, release quality, or customer ...

Sr. Data Analyst, Worldwide Support

Durham, NC · On-site

$77.90K - $98.30K/yr

Experience with product telemetry, product usage data, or system health data * Experience analyzing case trends, defect trends, upgrade success/failure, product adoption, release quality, or customer ...

Lead Data Analyst Our client, a commercial banking company, is looking for a Lead Data Analyst for ... Health benefits * Referral program * Excellent growth and advancement opportunities ICONMA is an ...

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Health Data Analyst information

See Raleigh, NC salary details

$10

$36

$60

How much do health data analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for health data analyst in Raleigh, NC is $36.28, 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 Does a Health Data Analyst Do?

A health data analyst creates data reports that guide healthcare providers or organizations. The data comes from various systems or sources, like treatment or billing records. These statistical reports can be used to assess disease trends, over or underutilization of treatment, and cost of healthcare. Medical services and insurance providers can use this information to make decisions about future costs and coverage, while organizations such as the CDC (Centers for Disease Control and Prevention) use it to assess public health. Entry-level jobs as an analyst require a bachelor’s degree in healthcare administration, financing, or a related field.

What are the key skills and qualifications needed to thrive as a Health Data Analyst, and why are they important?

To thrive as a Health Data Analyst, you need strong analytical skills, knowledge of statistics, and a degree in health informatics, statistics, or a related field. Familiarity with data analysis tools like SQL, Python, R, and healthcare data systems such as EHRs or Epic is typically required. Attention to detail, problem-solving abilities, and effective communication skills are essential soft skills for translating complex data into actionable insights. These skills ensure accurate analysis, enable data-driven decision-making, and support improved patient outcomes in healthcare organizations.

What are some common challenges Health Data Analysts face when working with healthcare data?

Health Data Analysts frequently encounter challenges such as dealing with incomplete or inconsistent data, ensuring patient privacy and data security, and integrating information from multiple electronic health record (EHR) systems. Navigating these hurdles requires strong data cleaning skills, a solid understanding of healthcare regulations like HIPAA, and effective communication with clinical staff to clarify data context. Overcoming these challenges is essential to producing accurate analyses that support healthcare decision-making and improve patient outcomes.

What are Health Data Analysts?

Health Data Analysts are professionals who collect, process, and analyze health-related data to help organizations improve patient care, streamline operations, and meet regulatory requirements. They use statistical tools and data management techniques to interpret large sets of medical and healthcare data, identifying trends and insights. Health Data Analysts often work in hospitals, public health agencies, insurance companies, or research institutions. Their work helps healthcare providers make informed decisions, improve patient outcomes, and optimize costs.
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 cities near Raleigh, NC are hiring for Health Data Analyst jobs? Cities near Raleigh, NC with the most Health Data Analyst job openings:
Infographic showing various Health Data Analyst job openings in Raleigh, NC as of May 2026, with employment types broken down into 44% Internship, and 56% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution, with an average salary of $75,470 per year, or $36.3 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