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Health Data Analytics Jobs in Virginia (NOW HIRING)

If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data ... Analytics We're looking for someone who can sit between the business and the technical side and ...

If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data ... Analytics We're looking for someone who can sit between the business and the technical side and ...

Experience supporting HHS, NIH, FDA, CMS, CDC, or other health-focused federal environments ... Additional cloud, data, analytics, AI/ML, cybersecurity, Agile, ITIL, DAMA, CDMP, or project ...

As a healthcare analyst, you will be performing research/analysis based on the client data followed by contribution in internal projects. On the whole your going to be a passionate player in using ...

As a healthcare analyst, you will be performing research/analysis based on the client data followed by contribution in internal projects. On the whole your going to be a passionate player in using ...

With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities ... Collaborate with the analytics and data science team to ensure OMOP-structured data is properly ...

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Health Data Analytics information

See Virginia salary details

$24

$54

$93

How much do health data analytics jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for health data analytics in Virginia is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

What is health data analytics?

Health data analytics is the process of examining large sets of healthcare data to uncover patterns, trends, and insights that can help improve patient outcomes and healthcare operations. Professionals in this field use statistical, computational, and analytical methods to interpret data from electronic health records, clinical trials, claims, and other sources. The goal is to support evidence-based decision making, optimize resource allocation, and enhance the quality of care. Health data analysts often work in hospitals, research institutions, insurance companies, and public health organizations.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing medical and patient data to improve healthcare outcomes and efficiency. It offers strong job prospects, competitive salaries, and opportunities to work with tools like SQL, Python, and electronic health records systems. Professionals in this field often need a background in health informatics, statistics, or data science and may pursue certifications to enhance their skills.

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 a solid background in statistics, data analysis, and health informatics, often supported by a degree in a related field such as public health, statistics, or computer science. Proficiency with analytical tools like SQL, Python, R, and healthcare data systems (e.g., EHRs, HL7) is typically required, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help translate complex data into actionable healthcare insights. These skills enable analysts to improve patient outcomes, support decision-making, and drive efficiency within healthcare organizations.

What are some common challenges faced by professionals working in Health Data Analytics, and how can they be managed?

Professionals in Health Data Analytics often encounter challenges such as managing large volumes of sensitive patient data, ensuring data privacy and compliance with regulations like HIPAA, and integrating data from multiple sources with varying formats and quality. Addressing these issues requires strong technical skills, attention to detail, and collaboration with IT, clinical, and compliance teams. Continuous learning about new analytics tools and regulatory changes also helps professionals stay effective and maintain data integrity.

What is the difference between Health Data Analytics vs Health Data Analysis?

AspectHealth Data AnalyticsHealth Data Analysis
Required SkillsData analysis, statistical skills, knowledge of healthcare dataData interpretation, statistical skills, healthcare knowledge
Tools & SoftwareAnalytics platforms, programming languages (Python, R)Excel, statistical software, visualization tools
Work EnvironmentData teams, healthcare organizations, research institutionsHealthcare providers, research settings, hospitals
FocusExtracting insights from large datasets, predictive modelingInterpreting data results, reporting findings

Health Data Analytics involves using advanced tools and techniques to extract insights from large healthcare datasets, often focusing on predictive modeling and data-driven decision-making. Health Data Analysis emphasizes interpreting healthcare data to inform clinical or operational decisions, typically involving statistical analysis and reporting. Both roles require healthcare knowledge and analytical skills but differ mainly in scope and complexity.

What degree do you need to be a health data analyst?

A health data analyst typically needs at least a bachelor's degree in health informatics, statistics, data science, or a related field. Many employers prefer candidates with a master's degree or higher, along with skills in data analysis tools like SQL, R, or Python, and knowledge of healthcare systems and regulations.

What does a data analyst do in healthcare?

A healthcare data analyst collects, processes, and interprets medical and operational data to improve patient outcomes, optimize healthcare delivery, and support decision-making. They use tools like Excel, SQL, and statistical software to identify trends, create reports, and ensure data accuracy, often working closely with clinicians and administrators.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts play a key role in interpreting medical data, and while AI tools can automate routine tasks like data processing and basic analysis, they are unlikely to fully replace analysts. Human expertise is essential for complex decision-making, contextual understanding, and ensuring data accuracy in healthcare environments.
What are popular job titles related to Health Data Analytics jobs in Virginia? For Health Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Health Data Analytics jobs in Virginia look for? The top searched job categories for Health Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Health Data Analytics jobs? Cities in Virginia with the most Health Data Analytics job openings:
Infographic showing various Health Data Analytics job openings in Virginia as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $112,896 per year, or $54.3 per hour.
Manager, Data Analytics

Manager, Data Analytics

McKesson

Richmond, VA

Full-time

Posted 19 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 208 frontline employees who took The Breakroom Quiz

41st of 74 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Manager, Data Analytics

We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work.

Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role.

Key Responsibilities

  • Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions
  • Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team
  • Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions
  • Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly
  • Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen

Minimum Requirement

Degree or equivalent and typically requires 7+ years of relevant experience.

Education

Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field

Critical Skills

  • 7+ years in analytics, business intelligence, or a similar role.
  • Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code
  • Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker)
  • Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation
  • Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience
  • Solid understanding of data modeling and BI best practices
  • Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows

Additional Skills

  • Experience replacing or modernizing RPA automations
  • Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows
  • Background in healthcare, pharma, or distribution

This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.

If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$114,200 - $190,400

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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