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Healthcare Data Analyst R Python Sql Jobs (NOW HIRING)

Astiva Health

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Utilize tools such as SQL Server, SSIS, Power BI, SSRS, Python, and Excel. Collaboration * Partner ...

JP Systems, Inc.

Healthcare Data Analyst Sr.

VA · Remote

$88K - $111K/yr

Provide expertise in bioinformatics and data science programming languages (e.g., R, Python, Perl ... Cloud-based SQL and non-SQL server, which may include databases such as SQL Server as a service ...

Accompany Health

Senior Healthcare Data Analyst

$120K - $135K/yr

Required : * 4+ years experience in healthcare data analytics or healthcare economics * 4+ years experience with analytic and modeling tools and software (SAS, SQL, Python, R, etc) * Demonstrated ...

Latica

Senior Healthcare Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

... analytical role within the healthcare industry (required) * Advanced proficiency ... in SQL for complex data querying and manipulation * Strong experience with Python and Pandas for ...

Megan soft Inc

BI Data Analyst (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc. * Identify and implement avenues to optimize and enhance data analysis, interpretation and ...

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site +1

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare ... Experience using data analysis tools such as Excel, SQL, Tableau, Power BI, or similar tools.

Scalepex

Healthcare Data Analyst

Dallas, TX · Remote

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare ... Experience using data analysis tools such as Excel, SQL, Tableau, Power BI, or similar tools.

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Healthcare Data Analyst R Python Sql information

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How much do healthcare data analyst r python sql jobs pay per year?

As of Jun 12, 2026, the average yearly pay for healthcare data analyst r python sql in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Healthcare Data Analysts and data professionals use SQL and Python to manage, analyze, and visualize large datasets, often working in healthcare, finance, or technology sectors. These skills are essential for roles involving data extraction, cleaning, statistical analysis, and reporting, and they often require familiarity with tools like Jupyter Notebooks and data visualization libraries.

Is Python and SQL enough for a data analyst?

For a Healthcare Data Analyst, proficiency in Python and SQL is fundamental for data extraction, cleaning, and analysis. However, additional skills such as data visualization, statistical knowledge, and understanding healthcare-specific data are often required to perform comprehensive analysis and communicate insights effectively.

What are the key skills and qualifications needed to thrive as a Healthcare Data Analyst specializing in R, Python, and SQL, and why are they important?

To thrive as a Healthcare Data Analyst, you need strong analytical skills, experience with healthcare data standards, and a background in statistics or a related field, often supported by a degree in health informatics, data science, or a similar discipline. Proficiency in R, Python, and SQL, along with familiarity with tools like Tableau or Power BI and knowledge of HIPAA regulations, is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating complex data into actionable insights for healthcare stakeholders. These skills ensure data is accurately interpreted and leveraged to improve patient outcomes, operational efficiency, and regulatory compliance.

What is the difference between Healthcare Data Analyst R Python Sql vs Healthcare Data Scientist R Python Sql?

AspectHealthcare Data Analyst R Python SqlHealthcare Data Scientist R Python Sql
CredentialsBachelor's in health informatics, data analysis, or related fields; certifications like CPC or CAPMaster's or PhD in data science, statistics, or related fields; advanced certifications
Work EnvironmentHospitals, clinics, healthcare providers, insurance companiesResearch institutions, healthcare tech companies, pharmaceutical firms
Job FocusData reporting, cleaning, basic analysis, supporting decision-makingAdvanced modeling, predictive analytics, machine learning, research

Healthcare Data Analysts and Healthcare Data Scientists both work with R, Python, and SQL in healthcare settings. Analysts focus on data reporting and supporting operational decisions, while Data Scientists handle complex modeling and predictive analytics. The main difference lies in the depth of analysis and required expertise, with Data Scientists typically possessing advanced degrees and skills for more sophisticated data modeling.

What are Healthcare Data Analysts and what do they do?

Healthcare Data Analysts are professionals who collect, process, and analyze healthcare data to help organizations make informed decisions. They use tools such as R, Python, and SQL to clean and interpret large datasets, identify trends, and generate reports. Their work supports hospital management, clinical research, and public health initiatives by uncovering insights that improve patient outcomes and operational efficiency. Healthcare Data Analysts often collaborate with clinicians, administrators, and IT teams to solve complex healthcare problems.

Can Python and SQL work together?

Healthcare Data Analysts often use Python and SQL together to extract, manipulate, and analyze healthcare data efficiently. Python libraries like pandas and SQL queries are commonly integrated to automate workflows and improve data accuracy in healthcare environments.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts using skills in R, Python, and SQL play a crucial role in interpreting complex health data. While AI can automate routine data processing and analysis tasks, human expertise is essential for contextual understanding, decision-making, and ensuring data quality, so the role is likely to evolve rather than be fully replaced.

How does a Healthcare Data Analyst using R, Python, and SQL typically collaborate with clinical teams and IT departments?

Healthcare Data Analysts often work closely with clinical teams to understand their data needs and translate medical questions into actionable data queries. They also collaborate with IT departments to ensure data integrity, proper data extraction, and compliance with healthcare regulations like HIPAA. Regular meetings and cross-functional projects are common, requiring strong communication skills to bridge the technical and clinical perspectives. This teamwork helps deliver insights that improve patient outcomes and operational efficiency.
Infographic showing various Healthcare Data Analyst R Python Sql job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Healthcare Data Analyst

Healthcare Data Analyst

Astiva Health

Orange, CA • On-site

$85K - $115K/yr

Full-time

Posted 25 days ago

Job description

About Us:
Astiva Health, Inc., located in Orange, CA is a premier healthcare provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.
SUMMARY:
The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical, operational, and financial decision-making within Medicare Advantage programs. This role focuses on key areas including risk adjustment, quality measures (HEDIS and Star Ratings), pharmacy adherence, and claims analysis.
The analyst collaborates with clinical, quality, pharmacy, and provider teams to identify trends, monitor program performance, and support CMS regulatory reporting. The role also includes developing automated data workflows and reporting solutions that deliver timely, actionable insights across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:
Data Analysis & Reporting
  • Analyze medical and pharmacy claims, membership, supplement, lab, risk adjustment, and encounter data to support Medicare Advantage quality, risk, and operational programs.
  • Develop and maintain dashboards and reports for HEDIS, Star Ratings, medication adherence, RAF/HCC performance, and EDPS encounter data.
  • Identify trends, care gaps, and performance opportunities to support quality improvement, pharmacy initiatives, and risk adjustment efforts.
  • Provide analytics and reporting to MSOs/IPAs and internal teams, including quality, pharmacy, and risk adjustment.
  • Support regulatory and CMS-related analyses, including encounter data monitoring, claims acceptance, and HCC performance.
  • Deliver consolidated reporting and insights to leadership for strategic decision-making.
  • Examine payments, cost of care, and utilization data to produce metrics for bid submission and JOMs or to address concerns from business partners.
  • Support ad hoc reporting needs across the organization.

Data Quality & Validation
  • Validate and reconcile claims, pharmacy, provider, membership, supplement, and lab data to ensure accuracy and completeness.
  • Investigate and resolve data discrepancies, anomalies, and reporting issues across Medicare Advantage data sources.

Technical & Database Work
  • Write and optimize SQL queries and stored procedures for data extraction, transformation, and analysis.
  • Develop automated ETL workflows and data pipelines to support ongoing reporting needs.
  • Work with large datasets in SQL Server and healthcare analytics platforms.
  • Build dashboards and data visualizations using Power BI or SSRS.
  • Utilize tools such as SQL Server, SSIS, Power BI, SSRS, Python, and Excel.

Collaboration
  • Partner with clinical, pharmacy, quality, enrollment, credentialing, and finance teams to interpret results and support program initiatives.
  • Assist with regulatory and compliance-related reporting requirements.
  • Present findings and insights to both technical and non-technical stakeholders

Requirements
Required Qualifications
  • Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field.
  • 2-5+ years of healthcare data analytics experience.
  • Knowledge of Medicare Advantage programs, HEDIS, and/or CMS Star Ratings.
  • Advanced SQL skills for querying and analyzing large datasets.
  • Experience with BI tools such as Power BI, SSRS, or similar tools.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience working in Medicare Advantage organizations, MSOs, or managed care settings.
  • Knowledge of HCC risk adjustment, RAF methodologies, capitation payment model, DOFR, claim processing, bid design, and CMS regulatory requirements.
  • Experience analyzing pharmacy adherence metrics (e.g., PDC).
  • Familiarity with EDPS encounter data, claims submissions, and acceptance processes.
  • Experience with ETL tools (e.g., SSIS) or programming languages such as Python or .NET.

Salary Description
$85,000 - $115,000/annually

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