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Clinical Data Analyst Jobs in Florida (NOW HIRING)

Build and maintain reports and dashboards using Power BI and other reporting tools. * Assist with analyzing operational, clinical, and financial data. * Support recurring reporting and ad hoc data ...

Senior Data Analyst

Oldsmar, FL ยท On-site

$78K - $99K/yr

Senior Data Analyst Are you looking to make a difference in patients' lives with a company that ... Partner directly with operational, clinical, financial, and executive teams. * Identify ...

Using SQL code, mine data on medical spend, clinical data and population health data and derive ... Thoroughly analyze data, quickly identify relevant information, and transform it into a meaningful ...

NeueHealth delivers clinical care to health consumers through our owned clinics - Centrum Health ... Thoroughly analyze data, quickly identify relevant information, and transform it into a meaningful ...

$57.75 - $74.25/hr

Lead the mapping of clinical data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. * Build out the data architecture and models in collaboration with the ...

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Clinical Data Analyst information

See Florida salary details

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How much do clinical data analyst jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for clinical data analyst in Florida is $27.17, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $31.44 per hour, depending on experience, location, and employer.

What is a clinical data analyst?

A Clinical Data Analyst is a professional who manages and analyzes healthcare data to support clinical research and improve patient outcomes. They collect, process, and ensure the accuracy of medical data from clinical trials or healthcare systems. Their work helps identify trends, support decision-making, and ensure compliance with regulatory standards. Clinical Data Analysts often use specialized software to clean, validate, and report on large datasets. They play a critical role in maintaining the integrity and quality of clinical information.

What are the key skills and qualifications needed to thrive as a clinical data analyst, and why are they important?

To thrive as a Clinical Data Analyst, you need a solid background in data analysis, statistics, and healthcare concepts, often supported by a degree in health informatics, statistics, or a related field. Familiarity with data management tools, programming languages like SQL or Python, and statistical software such as SAS or R, as well as knowledge of clinical databases and regulations like HIPAA, is crucial. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and convey insights to multidisciplinary teams. These skills ensure accurate data analysis, support evidence-based decision-making, and maintain compliance within clinical research and healthcare environments.

What are some common challenges clinical data analysts face when ensuring data quality and integrity?

Clinical Data Analysts frequently encounter challenges such as inconsistent data entry, missing values, and discrepancies across various data sources. Ensuring data quality requires meticulous attention to detail and strong communication with clinical staff to resolve ambiguities or errors. Analysts also navigate evolving regulatory requirements and must stay current with best practices in data validation and cleaning to maintain compliance and reliability of clinical trial results. Collaborating closely with data managers, statisticians, and clinical teams is essential for addressing these challenges efficiently.

How much does a clinical data analyst make?

The average salary for a clinical data analyst in the United States is around $70,000 to $85,000 per year, depending on experience, education, and location. Salaries can vary based on the employer, certifications, and specific skills such as proficiency with electronic data capture systems and statistical tools.

What do clinical data analysts do?

Clinical data analysts collect, organize, and interpret healthcare data to support clinical research, patient care, and decision-making. They use statistical tools and software to identify trends, ensure data accuracy, and maintain compliance with privacy regulations. Strong analytical skills and knowledge of healthcare systems are essential for this role.

What is clinical data analytics?

Clinical data analytics involves collecting, processing, and analyzing healthcare data to improve patient outcomes, support clinical decision-making, and optimize healthcare operations. Clinical data analysts use tools like electronic health records (EHRs) and statistical software to interpret large datasets and generate actionable insights. Strong analytical skills and knowledge of healthcare regulations are essential for this role.

What are the most commonly searched types of Clinical Data Analyst jobs in Florida?

The most popular types of Clinical Data Analyst jobs in Florida are:

What are popular job titles related to Clinical Data Analyst jobs in Florida?

For Clinical Data Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Clinical Data Analyst jobs in Florida look for?

The top searched job categories for Clinical Data Analyst jobs in Florida are:

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

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

Infographic showing various Clinical Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $56,514 per year, or $27.2 per hour.

Health Plan Clinical Analyst and Data Scientist

Miami, FL โ€ข On-site

Health Network One
Health Care and Social Assistanceย โ€ขย 201 - 500 employees

Full-time

Posted 25 days ago


Job description

Company Overview: Health Network One (HN1) partners with health plans and providers to modernize how specialty care is delivered and managed, reducing complexity, driving better performance, and improving lives.
With over 30 years of experience, Health Network One advances care in several unique specialties: Vision, Therapy, Dermatology, and Sleep. By curating specialty networks and credentialing providers who meet rigorous access and quality standards, we bring together value-based models and clinical expertise to ensure providers thrive, payers succeed, and members receive the high-quality care they deserve.
Position Summary
Health Plan Clinical Analyst and Data Scientist drives enterprise clinical performance strategy by overseeing analytics, regulatory reporting frameworks, and operational intelligence that support clinical, care and utilization management, and quality initiatives. This role translates complex healthcare data into executive-level insights, leads cross-functional analytics efforts, and ensures alignment between clinical operations, compliance priorities, and organizational strategy.
Serving as an analytics partner to clinical leadership, this role provides subject-matter expertise in utilization trends, clinical performance, and quality measurement while advancing scalable reporting infrastructure that improves outcomes and regulatory readiness.
Key Responsibilities
  • Clinical Analytics Leadership

Lead the design, development, and optimization of enterprise clinical performance dashboards (e.g., utilization, care management effectiveness, access metrics, and quality performance).
Development of recurring and adhoc analytics using SQL, Excel, and Power BI.
Translate complex clinical datasets into strategic recommendations for executive leadership, operational teams, and quality stakeholders.
Establish data validation standards and ensure accuracy, completeness, and integrity across reporting environments.
Serve as a senior subject-matter expert for clinical analytics methodologies, performance measurement, and reporting best practices.
  • Stakeholder Partnership & Strategic Influence

Partner with clinical and operational leadership to define KPIs aligned with enterprise performance goals.
Lead cross-functional collaboration with IT, data engineering, operations, and quality teams to improve data architecture and reporting accessibility.
Present insights and narratives to senior stakeholders in clear, decision-ready formats.
Guide prioritization of analytics initiatives supporting organizational strategy and regulatory requirements.
Mentor junior analysts and strengthen analytics capabilities across teams.
  • Regulatory, Accreditation & Quality Analytics

Partner with Compliance and clinical stakeholders to support state, federal and health plan reporting requirements, including NCQA, CMS, JOC.
Development of performance metrics used in audits, accreditation readiness, and compliance monitoring.
Support enterprise readiness for regulatory reviews through proactive analytics monitoring and documentation.
  • Continuous Improvement & Analytics Governance

Drive automation of manual reporting workflows and implementation of scalable reporting solutions.
Establish documentation standards, reporting governance processes, and analytics best practices.
Lead initiatives to modernize clinical reporting infrastructure and improve enterprise data usability.
Identify opportunities to leverage analytics for performance optimization and cost-of-care improvement.
Education & Experience
Bachelor's degree (or equivalent experience) in public health, data analytics, health informatics, business, or a related field.
5+ years of experience with advanced proficiency in SQL, Excel, and Power BI
3+ years of experience working with healthcare plan datasets, including claims, utilization management/prior authorization, care management, and quality measures.
Strong understanding of clinical workflows, utilization and network management analytics, and healthcare economics.
Demonstrated ability to translate complex analytics into executive-level insights and operational recommendations.
Excellent stakeholder engagement, communication, and strategic problem-solving skills.
Self-starter with the ability to manage multiple priorities independently.
Preferred Qualifications
Experience mentoring analysts and leading analytics workstreams or initiatives.
Experience with data science tools and programming languages such as Python or R
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.