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Healthcare Data Analyst R Python Sql Jobs (NOW HIRING)

Guru Schools

Sr. Data Analyst

Shakopee, MN · On-site

$91K - $116K/yr

Overview: Title: Sr. Data Analyst Location: Shakopee, MN - Hybrid - Must be LOCAL Duration: 9+ ... Python, SQL, Excel, they want someone experienced working with ERP systems and quilting or order ...

1 point system

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

You will analyze the needs and the environment to ensure the solutions you develop consider the ... Proficiency in SQL, PL/SQL, T-SQL, Hadoop, Python, and Java. Optimization: Hands-on experience in ...

Aptive

$85K - $108K/yr

... rootcause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners. * Define and ... federal healthcare or equivalent large-scale environment preferred). * Masters degree.

Central Health

Data Analyst

Austin, TX

ResponsibilitiesDevelop and maintain complex SQL and/ or Python queries to retrieve, join, and ... Work Experience: * 2 yearsof experience in healthcare, statistics, experimentalresearch, data ...

Aptive

Senior Data Analyst

$88K - $111K/yr

... cause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners. * Define and ... federal healthcare or equivalent large-scale environment preferred). * Masters degree.

The Hartford

Investment Data Analyst

Wayne, PA · On-site

$70K - $90K/yr

Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS. Compensation The listed annualized base pay range is primarily based on analysis of ...

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Healthcare Data Analyst R Python Sql information

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$34K

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

As of Jun 17, 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.

Data Analyst

Ascension Federal Services Inc.

Melbourne, FL

Full-time

Posted 4 days ago

Job description

Data Analyst

Location: Melbourne, FL, 32940

Job Description

We are seeking a detail-oriented and analytical Data Analyst to join our team in Melbourne, FL. The ideal candidate will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports to help drive informed business decisions.

Responsibilities
  • Collect, process, and perform statistical analyses on large datasets.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs).
  • Identify trends, patterns, and insights from data to support business strategies.
  • Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
  • Ensure data integrity and accuracy by performing data validation and cleansing.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Utilize data visualization tools to communicate complex data effectively.
Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Proven experience as a Data Analyst or in a similar role.
  • Proficiency in SQL and experience with data querying and manipulation.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Familiarity with statistical software (e.g., R, Python) is a plus.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.
How to Apply

If you are passionate about data and eager to contribute to a dynamic team, please submit your resume and cover letter to our HR department.

Apply