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Healthcare Data Analytics Jobs in Reston, VA (NOW HIRING)

Data Engineer

Loudoun, VA · On-site

$129K - $155K/yr

This data is available for reporting and analytics by various other teams. This candidate should be ... Design and develop stream and batch processing data pipelines for ingesting healthcare data (CSVs ...

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Collaborate with data scientists, analysts, and healthcare professionals to design data architectures that enable advanced analytics, machine learning, and reporting. 4. Optimization and Performance:

Be Seen First

Collaborate with data scientists, analysts, and healthcare professionals to design data architectures that enable advanced analytics, machine learning, and reporting. 4. Optimization and Performance:

Develop and maintain data pipelines for healthcare analytics projects. * Support AI/ML and predictive analytics initiatives in healthcare environments. * Collaborate with data scientists, clinicians ...

Develop and maintain data pipelines for healthcare analytics projects. * Support AI/ML and predictive analytics initiatives in healthcare environments. * Collaborate with data scientists, clinicians ...

Develop and maintain data pipelines for healthcare analytics projects. * Support AI/ML and predictive analytics initiatives in healthcare environments. * Collaborate with data scientists, clinicians ...

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Healthcare Data Analytics information

See Reston, VA salary details

$25

$56

$98

How much do healthcare data analytics jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for healthcare data analytics in Reston, VA is $56.96, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $64.52 per hour, depending on experience, location, and employer.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts analyze medical data to improve patient outcomes and operational efficiency. While AI tools can automate data processing and basic analysis, human expertise is essential for interpreting complex data, making strategic decisions, and ensuring ethical considerations. The role is expected to evolve with technology, emphasizing skills in data management, statistical analysis, and domain knowledge.

What are some typical challenges faced in a Healthcare Data Analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

What are the key skills and qualifications needed to thrive in the Healthcare Data Analytics position, and why are they important?

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What is a Healthcare Data Analytics job?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Excel, with certifications often enhancing job prospects. The demand for professionals in this area is increasing due to the expanding use of electronic health records and health information systems.

What exactly does a healthcare data analyst do?

A healthcare data analyst collects, processes, and interprets healthcare data to identify trends, improve patient outcomes, and support decision-making. They use tools like Excel, SQL, and data visualization software, and often work with electronic health records and healthcare databases to ensure data accuracy and compliance.

What is the role of data analytics in healthcare?

Healthcare Data Analytics involves collecting, analyzing, and interpreting health data to improve patient outcomes, optimize operations, and support clinical decision-making. Data analysts in this field use tools like SQL, Python, or R to identify trends, measure performance, and inform policy, often working within electronic health record systems and requiring knowledge of healthcare regulations such as HIPAA.
What are popular job titles related to Healthcare Data Analytics jobs in Reston, VA? For Healthcare Data Analytics jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Healthcare Data Analytics jobs? Cities near Reston, VA with the most Healthcare Data Analytics job openings:
Infographic showing various Healthcare Data Analytics job openings in Reston, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $118,469 per year, or $57 per hour.
Payer Healthcare Data Scientist, Manager

Payer Healthcare Data Scientist, Manager

Pwc

Washington, DC

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Health Services

Specialism

Operations

Management Level

Manager

Job Description & Summary

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance.
As an operations consulting generalist at PwC, you will possess a broad understanding of various aspects of operations consulting. You will provide comprehensive guidance and support to clients in optimising operational efficiency and effectiveness. Working in this area, you will analyse client needs, develop operational solutions, and offer recommendations tailored to specific business requirements.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable insights that reduce cost of care and improve population health outcomes for our payer clients. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while securing project success and maintaining exemplary standards. This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare.
Responsibilities
- Apply advanced data science and machine learning methodologies to analyze vast claims and clinical data
- Generate actionable insights aimed at reducing healthcare costs and enhancing population health
- Lead and mentor teams while managing client relationships and expectations
- Secure successful project execution while upholding quality standards
- Collaborate with industry leaders to develop innovative analytics solutions
- Present findings and strategies to senior stakeholders, including Chief Actuaries
- Play a key role in the development of new analytics products for payer strategies
- Foster a culture of continuous improvement and knowledge sharing within the team
What You Must Have
- Bachelor's Degree
- At least 6 years of experience in data science and machine learning
What Sets You Apart
- Master's Degree in Statistics, Computer Science, Applied Mathematics, Biotechnology preferred
- Prior consulting or advisory firm experience preferred
- Contributing to commercial analytics product development
- Familiarity with NCQA HEDIS specifications and CMS Star Ratings
- Knowledge of government payer programs and Medicaid
- Experience with NLP or unstructured clinical text
- Exposure to social determinants of health data integration

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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