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Healthcare Data Analytics Jobs in Silver Spring, MD

AaraTechnologies Inc

DATA ANALYST

Maryland City, MD · On-site

Bachelor s degree in Data Analytics, Business, Healthcare Administration, or a related field (or equivalent experience) * Working knowledge of SQL * Experience with BI tools such as Tableau, Power BI ...

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All JobsHealthcare Data Analytics JobsHealthcare Data Analytics Jobs in Silver Spring, MD

Healthcare Data Analytics information

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$25

$56

$97

How much do healthcare data analytics jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for healthcare data analytics in Silver Spring, MD is $56.60, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $64.13 per hour, depending on experience, location, and employer.

What healthcare jobs pay over $100k per year?

Healthcare data analysts, health informatics managers, and healthcare executives often earn over $100,000 annually. These roles typically require strong analytical skills, proficiency with data tools, and relevant certifications or advanced degrees. Salaries vary based on experience, location, and organization size.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts play a crucial role in interpreting complex health data, and while AI tools can automate routine tasks like data collection and basic analysis, they are unlikely to fully replace analysts. Human expertise is essential for contextual understanding, decision-making, and ensuring data accuracy in healthcare environments.

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 workflows, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

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 medical data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with healthcare systems and tools like SQL, Python, or R. The profession offers strong job prospects, competitive salaries, and opportunities for specialization and advancement.
What are the most commonly searched types of Healthcare Data Analytics jobs in Silver Spring, MD? The most popular types of Healthcare Data Analytics jobs in Silver Spring, MD are:
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What job categories do people searching Healthcare Data Analytics jobs in Silver Spring, MD look for? The top searched job categories for Healthcare Data Analytics jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Healthcare Data Analytics jobs? Cities near Silver Spring, MD with the most Healthcare Data Analytics job openings:
Healthcare Data Analytics jobs near you
Infographic showing various Healthcare Data Analytics job openings in Silver Spring, MD as of June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $117,720 per year, or $56.6 per hour.
Senior Healthcare Data Analytics Specialist for Multiple Positions

Senior Healthcare Data Analytics Specialist for Multiple Positions

Inovalon

Bowie, MD • On-site, Remote

Other

Posted 13 days ago

Job description

Inovalon is seeking Senior Healthcare Data Analytic Specialists for Multiple Positions

Summary of Duties:     Determine project plans, timelines, and/or technical objectives for statistical aspects of healthcare data analytic processes, applying valid statistical techniques and using information obtained from baselines or historical data to structure uncompromised and efficient analyses. Use data analysis to support and improve business decisions and develop clinical healthcare data analytic products and services. Determine the specific types of clinical or healthcare data required to answer specific questions or solve problems. Evaluate and maintain healthcare databases comprised of data from a variety of sources, such as clinical and health data contained in electronic health records and publicly reported quality measurement and reimbursement data and adjusting and weighting the raw data. Prepare data for processing. Plan and design data integration strategies by evaluating clinical and healthcare data to determine any reliability or usability limitations and checking for inaccuracies. Develop, execute and reconcile requirements for data mapping and data loading processes, develop intuitive designs, and build enterprise interactive dashboards with built in guided healthcare data analytics. Evaluate data to ensure validity, applicability, efficiency, and accuracy. Perform complex and detailed statistical analyses and modeling of clinical and operational data with clear, relevant outputs. Analyze data using statistical analysis and visualization software (e.g. SAS, R, SPSS, Stata, SQL or Tableau) to apply statistical approaches such as opportunity analyses, risk adjustment and predictive modeling, program evaluation studies, probability and inference, longitudinal analysis, mixed effect modeling, logistic regression analyses, and model building techniques. Perform trend analysis to identify and research anomalies and outliers in the data. Identify problem areas related to healthcare quality, risk adjustment, and/or clinical performance and recommend solutions. Write detailed analysis plans and descriptions of analyses and recommendations, including preparing data visualizations in the form of dashboards, charts, and/or graphs. Prepare statistical data for inclusion in reports to senior management, state or federal regulatory agencies, accrediting agencies, and clients.

Qualifications:     Three of Four Year Bachelor's degree in Computer Science, Management Information Systems, Statistics, Data Analytics, Information Technology Management, Commerce, or related field of study, or foreign equivalent plus at least 5 years progressively responsible experience in job offered or in any related analytics job titles.
Applicants must have 5 years of experience with healthcare data analytic processes and in the following: (1) conducting statistical analyses and data mining using data management and visualization software (e.g. SAS, R, SPSS, Stata, SQL, SSRS, SQL Server, Minitab, and/or Tableau); (2) analytical, quantitative, statistical, and biostatistical data analysis methodology and theory (e.g. opportunity analyses, risk adjustment and predictive modeling, program evaluation studies, probability and inference, longitudinal analysis, mixed effect modeling, logistic regression analyses, and model building techniques); (3) algorithm design, interactive reporting, data visualization and modeling, database systems, trend and root cause analysis, computer and neural networks, data structures, programming languages, and logic design; and (4) Microsoft technologies (including Excel, PowerPoint, Word, and Visio). Telecommuting Available.

This role is not available for sponsorship at this time.

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