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Provider Data Analyst Jobs in Florida (NOW HIRING)

Data Analyst

Orlando, FL · On-site

$70 - $100/hr

Experience with managing and analyzing large datasets, creating reports, and providing actionable insights. Experience in working with compliance or regulatory data within a structured project ...

... • Provide data research and write data queries for smaller analytics projects Requirements • 2-5 years of experience in data analysis and reporting • Basic understanding of business and ...

The Data Analyst is responsible for ensuring enterprise data is accurate, consistent, and trusted ... Prepares and provides data-related documentation and evidence to meet internal and external ...

Responsibilities: The Data Analyst is responsible for ensuring enterprise data is accurate ... Prepares and provides data-related documentation and evidence to meet internal and external ...

Data Analyst Location: Miami, FL - Onsite 5 days/week Type: 6-month Contract-to-Hire Role Overview ... provide visibility into key business metrics such as pipeline health, lead conversion, win/loss ...

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... Experience providing services similar in required tasks, scope, and complexity. * At least "Interim ...

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... Experience providing services similar in required tasks, scope, and complexity. * At least "Interim ...

We provide a solution that combines advanced software, radio-frequency identification (RFID ... As Data Analyst, you will have the opportunity to thrive in a fast-moving, fluid environment, and ...

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... Experience providing services similar in required tasks, scope, and complexity. * At least "Interim ...

Identify, analyze, and interpret trends or patterns within complex data sets, providing actionable insights. * Create data collection systems and other strategies that enhance statistical efficiency ...

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Provider Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do provider data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for provider data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

What is a provider data analyst?

A Provider Data Analyst is responsible for managing and analyzing healthcare provider data to ensure accuracy, completeness, and compliance with industry regulations. They work with large datasets to maintain provider directories, verify credentials, and support claims processing. Their role involves identifying data discrepancies, improving data integrity, and collaborating with internal teams to enhance operational efficiency. Additionally, they may assist in reporting and analytics to support business decisions within healthcare organizations.

What does a provider data analyst do?

As a Provider Data Analyst, your day often involves gathering, validating, and managing provider information within healthcare data systems, troubleshooting discrepancies, and creating reports for internal teams or regulatory compliance. You'll collaborate closely with provider relations, IT, and compliance departments to ensure data accuracy and support network operations. Many tasks require independent focus on data analysis, but you’ll also spend time in meetings coordinating updates, clarifying requirements, and resolving issues. This balance of solitary analytical work and cross-functional collaboration keeps the role engaging and impactful in a fast-paced healthcare setting.

What are the key skills and qualifications needed to thrive as a provider data analyst?

A Provider Data Analyst needs strong analytical abilities, attention to detail, and proficiency in health data management, often supported by a degree in healthcare administration, statistics, or a related field. Expertise in data analysis tools such as SQL, Microsoft Excel, and experience with provider data management systems like Facets or HealthEdge are commonly expected, with certifications in healthcare data analytics being a plus. Strong communication skills, problem-solving abilities, and the capacity to work both independently and collaboratively are valuable soft skills for this position. These qualifications are crucial to ensure accurate provider data, streamline processes, and support healthcare operations effectively.

How to become a provider data analyst?

To become a provider data analyst, candidates typically need a bachelor's degree in fields like health informatics, data science, or related areas. Developing skills in data analysis tools such as Excel, SQL, and statistical software, along with understanding healthcare data and regulations, is essential. Gaining experience through internships or entry-level roles can also improve job prospects.

What cities in Florida are hiring for Provider Data Analyst jobs?

Cities in Florida with the most Provider Data Analyst job openings:

Infographic showing various Provider Data Analyst job openings in Florida as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

$70 - $100/hr

Other

Posted 5 days ago


Job description

  • Minimum Requirement: Bachelor's degree in Data Science, Statistics, Computer Science, Information Management, or a related field.
  • Preferred Qualification: Master's degree in Data Science, Business Analytics, or a related discipline.
  • Certifications: Certifications in data analysis software (such as SAS, R, Python), big data technologies, or business intelligence platforms like Tableau or Power BI are highly desirable.
2. Professional Experience:
  • Minimum Years of Experience: At least 3-5 years of experience in data analysis, preferably within the sectors relevant to the project such as government, healthcare, or public administration.
  • Specific Experience: Experience with managing and analyzing large datasets, creating reports, and providing actionable insights. Experience in working with compliance or regulatory data within a structured project environment is a plus.
3. Skills and Competencies:
  • Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Technical Skills: Proficiency in database management and data analysis software (e.g., SQL, Python, R), as well as advanced proficiency in spreadsheet tools like Microsoft Excel.
  • Communication Skills: Excellent communication skills to effectively present findings and insights to both technical and non-technical stakeholders.
4. Knowledge:
  • Statistical and Mathematical Knowledge: Solid understanding of statistical testing and modeling techniques that are essential for analyzing complex data.
  • Data Privacy and Security Knowledge: Awareness of data privacy standards and best practices, especially in handling sensitive or personal data, which is crucial in government and healthcare sectors.
  • Problem-solving Abilities: Ability to approach complex data-related problems with a clear analytical methodology and solve them efficiently.
  • Attention to Detail: Meticulous attention to detail to ensure the accuracy of data and analysis.
  • Proactivity: Proactive in identifying trends, anomalies, and opportunities in the data to drive project objectives.
6. Responsibilities:
  • Data Collection and Management: Collect, process, and clean data from multiple sources to ensure it is ready for analysis.
  • Data Analysis and Reporting: Analyze data using statistical techniques and tools, and create reports and dashboards that clearly communicate the findings and recommendations.
  • Support Decision Making: Provide data-driven insights to support strategic decisions and project initiatives.
  • Continuous Learning: Stay updated with the latest trends, tools, and technologies in data analysis to enhance project outcomes and efficiency.

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