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

Argyle Infotech

Senior Data Analyst

Smithfield, NC · On-site

$74.50K - $94K/yr

Senior Data Analyst We are seeking a skilled Senior Data Analyst to enhance our data infrastructure, improve data quality and relevance, and support strategic decision-making across sales, marketing ...

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

Sarian, Inc.

Sr. Data Analyst

Cary, NC · On-site

$81.90K - $103.30K/yr

Role: Senior Data Analyst Location: Cary, NC - Fulltime Position Technical Skillset: Excellent knowledge in Cognos and other BI tool * Ownership and Proactive approach * Expert in Cognos Report ...

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 ...

SARIAN Co

Sr. Data Analyst

Cary, NC · On-site

$87.60K - $110.60K/yr

Role: Senior Data Analyst Location: Cary, NC - Fulltime Position Technical Skillset: Excellent knowledge in Cognos and other BI tool * Ownership and Proactive approach * Expert in Cognos Report ...

Dlapiper

Sr Data Analyst

Raleigh, NC · Hybrid

$89.99K - $143.09K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm's strategic initiatives, in the Data Analytics group is responsible for data-driven forecasting, leading ...

Nutanix

Sr. Data Analyst, Worldwide Support

Durham, NC · On-site

$83.10K - $104.80K/yr

The Opportunity We are seeking an analytical and business-minded Senior Support Data Analyst to ... Experience with product telemetry, product usage data, or system health data * Experience analyzing ...

Nutanix

Sr. Data Analyst, Worldwide Support

Durham, NC · On-site

$77.90K - $98.30K/yr

The Opportunity We are seeking an analytical and business-minded Senior Support Data Analyst to ... Experience with product telemetry, product usage data, or system health data * Experience analyzing ...

Cardinal Health

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 ...

New

Sarian, Inc.

Senior Data Analyst

Cary, NC · On-site

$79.70K - $100.50K/yr

... as Data Analyst and has handled multi-dimensional high-volume data • End to End Solution ... Senior BSA with over 10+ years' work experience as an analyst is preferred.

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed ...

SARIAN Co

Senior Data Analyst

Cary, NC · On-site

$87.60K - $110.60K/yr

... as Data Analyst and has handled multi-dimensional high-volume data • End to End Solution ... Senior BSA with over 10+ years' work experience as an analyst is preferred.

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed ...

My3Tech Inc

Data Analyst

Raleigh, NC · Hybrid

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 ...

New

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 ...

VHB

Senior Transportation Data Analyst

Raleigh, NC · On-site

$98.50K - $148K/yr

Overview ABOUT THE POSITION Senior Transportation Data Analyst Locations: Watertown, MA | Raleigh, NC | Orlando, FL | NYC | Washington DC | Atlanta, GA | Any additional office locations in VHB ...

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Senior Health Data Analyst information

See Raleigh, NC salary details

$53.5K

$96.5K

$131.7K

How much do senior health data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for senior health data analyst in Raleigh, NC is $96,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $105,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Health Data Analyst, you need advanced analytical skills, a background in statistics or public health, and typically a bachelor's or master's degree in a related field. Proficiency in data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems are essential, along with certifications like Certified Health Data Analyst (CHDA) being advantageous. Strong problem-solving abilities, attention to detail, and excellent communication skills enable effective collaboration with cross-functional teams and clear presentation of findings. These competencies ensure accurate interpretation of complex health data, driving informed decisions that improve patient outcomes and organizational efficiency.

What are some common challenges faced by Senior Health Data Analysts when working with healthcare data?

Senior Health Data Analysts often encounter challenges such as integrating data from multiple, disparate healthcare systems, ensuring data privacy and compliance with regulations like HIPAA, and managing large volumes of complex, unstructured data. Additionally, they must translate technical findings into actionable insights for clinical and administrative stakeholders who may not have a data background. Collaborating effectively across interdisciplinary teams and keeping up with rapidly evolving healthcare technologies are also key aspects of the role.

What does a Senior Health Data Analyst do?

A Senior Health Data Analyst analyzes complex health-related data to provide insights that support decision-making in healthcare organizations. They are responsible for collecting, cleaning, and interpreting large datasets, often using statistical software and data visualization tools. Their work helps improve patient outcomes, optimize operations, and ensure regulatory compliance. Additionally, they may lead projects, mentor junior analysts, and collaborate with medical professionals, IT teams, and administrators to address various healthcare challenges.

What is the difference between Senior Health Data Analyst vs Health Data Analyst?

AspectSenior Health Data AnalystHealth Data Analyst
Required CredentialsBachelor's or Master's in Health Informatics, Data Science, or related field; experience often requiredBachelor's degree in related field; entry-level or less experience needed
Work EnvironmentHealthcare organizations, research institutions, or government agenciesHospitals, clinics, insurance companies, or health tech firms
Employer & Industry UsageUsed in organizations requiring advanced data analysis and leadershipUsed in roles focused on data collection and basic analysis

The main difference between a Senior Health Data Analyst and a Health Data Analyst lies in experience, responsibilities, and expertise. Senior roles typically require more advanced skills, leadership, and strategic input, whereas entry-level roles focus on data collection and basic analysis. Both roles are vital in healthcare data management but differ in scope and complexity.

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 Senior Health Data Analyst jobs in Raleigh, NC? For Senior Health Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Senior Health Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Senior Health Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Health Data Analyst jobs? Cities near Raleigh, NC with the most Senior Health Data Analyst job openings:
Senior Health Data Analyst jobs near you
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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