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Health Data Analyst Jobs in Boca Raton, FL (NOW HIRING)

Senior Data Engineer/Analyst

Coral Springs, FL · On-site

$81K - $103K/yr

Job Title Senior Data Engineer/Analyst About your role: You will design, build, and optimize ... No-cost mental health support through Employee Assistance Programs. * Living Proof program to ...

Additionally, this individual will focus on maintaining data integrity throughout all Material Bank system databases, which includes managing the process of appending records with update data and ...

Additionally, this individual will focus on maintaining data integrity throughout all Material Bank system databases, which includes managing the process of appending records with update data and ...

The Senior Health Economics Analyst is responsible for identifying and delivering data-driven insights and analytical support to executive leadership of ChenMed. Success in the role will be achieved ...

... Health Insurance • Vision Insurance • Life Insurance • Health Savings Account • Tuition ... The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by ...

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Health Data Analyst information

See Boca Raton, FL salary details

$10

$34

$58

How much do health data analyst jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for health data analyst in Boca Raton, FL is $34.70, according to ZipRecruiter salary data. Most workers in this role earn between $27.02 and $39.33 per hour, depending on experience, location, and employer.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts play a crucial role in interpreting complex health data, and while AI can automate routine tasks like data processing and basic analysis, it is unlikely to fully replace the need for human analysts who provide critical insights, contextual understanding, and decision-making. Skills in data management, statistical tools, and domain knowledge remain essential in this evolving field.

Are health data analysts in demand?

Health data analysts are in high demand due to the increasing focus on healthcare data management, analytics, and evidence-based decision making. The role requires skills in data analysis tools like SQL and Excel, and employment opportunities are expected to grow faster than average in the coming years.

What are the key skills and qualifications needed to thrive as a Health Data Analyst, and why are they important?

To thrive as a Health Data Analyst, you need strong analytical skills, knowledge of statistics, and a degree in health informatics, statistics, or a related field. Familiarity with data analysis tools like SQL, Python, R, and healthcare data systems such as EHRs or Epic is typically required. Attention to detail, problem-solving abilities, and effective communication skills are essential soft skills for translating complex data into actionable insights. These skills ensure accurate analysis, enable data-driven decision-making, and support improved patient outcomes in healthcare organizations.

What Does a Health Data Analyst Do?

A health data analyst creates data reports that guide healthcare providers or organizations. The data comes from various systems or sources, like treatment or billing records. These statistical reports can be used to assess disease trends, over or underutilization of treatment, and cost of healthcare. Medical services and insurance providers can use this information to make decisions about future costs and coverage, while organizations such as the CDC (Centers for Disease Control and Prevention) use it to assess public health. Entry-level jobs as an analyst require a bachelor’s degree in healthcare administration, financing, or a related field.

What are Health Data Analysts?

Health Data Analysts are professionals who collect, process, and analyze health-related data to help organizations improve patient care, streamline operations, and meet regulatory requirements. They use statistical tools and data management techniques to interpret large sets of medical and healthcare data, identifying trends and insights. Health Data Analysts often work in hospitals, public health agencies, insurance companies, or research institutions. Their work helps healthcare providers make informed decisions, improve patient outcomes, and optimize costs.

What are some common challenges Health Data Analysts face when working with healthcare data?

Health Data Analysts frequently encounter challenges such as dealing with incomplete or inconsistent data, ensuring patient privacy and data security, and integrating information from multiple electronic health record (EHR) systems. Navigating these hurdles requires strong data cleaning skills, a solid understanding of healthcare regulations like HIPAA, and effective communication with clinical staff to clarify data context. Overcoming these challenges is essential to producing accurate analyses that support healthcare decision-making and improve patient outcomes.

Can a data analyst work in healthcare?

A health data analyst is a role that involves analyzing healthcare data to improve patient outcomes, optimize operations, and support decision-making in medical settings. This job typically requires knowledge of healthcare systems, data management tools, and statistical software, and may involve working with electronic health records and compliance standards like HIPAA.

What is the role of a health data analyst?

A health data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They use statistical tools and software such as SQL, Excel, or specialized health informatics systems, often working with electronic health records and healthcare databases.
What are the most commonly searched types of Health Data Analyst jobs in Boca Raton, FL? The most popular types of Health Data Analyst jobs in Boca Raton, FL are:
What are popular job titles related to Health Data Analyst jobs in Boca Raton, FL? For Health Data Analyst jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Health Data Analyst jobs in Boca Raton, FL look for? The top searched job categories for Health Data Analyst jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Health Data Analyst jobs? Cities near Boca Raton, FL with the most Health Data Analyst job openings:
Infographic showing various Health Data Analyst job openings in Boca Raton, FL as of July 2026, with employment types broken down into 62% Full Time, 25% Part Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $72,172 per year, or $34.7 per hour.

Senior Data Engineer/Analyst

Monitise

Coral Springs, FL • On-site

$81K - $103K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Calling all innovators - find your future at Fiserv.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Senior Data Engineer/Analyst

About your role:

You will design, build, and optimize scalable data products and cloud-based data capabilities that support credit risk and fraud management for Global Business Solutions at Fiserv. You will partner with data scientists, risk strategists, product, and technology teams to deliver reliable data, machine learning, and decisioning pipelines that reduce risk of loss and enable revenue growth.

What you'll do:

  • Design, build, and maintain end-to-end ETL/ELT data pipelines for batch, real-time, and unstructured data using Python and Snowflake.
  • Develop and optimize data architectures for scalability, low latency, reliability, and cost efficiency in cloud environments.
  • Build and manage feature stores and reusable data and feature functions that support machine learning model and decision framework development.
  • Deploy data and analytics solutions to Amazon Web Services (AWS) using CI/CD automation and DevOps best practices.
  • Implement robust data quality controls, validation checks, monitoring, and alerting to ensure production-grade pipelines and data products.
  • Own end-to-end data product lifecycle, including requirement gathering, solution and architecture design, stakeholder validation, deployment, and performance tracking.
  • Conduct analytics and support development of machine learning and predictive model pipelines and frameworks.
  • Create and maintain clear technical documentation and collaborate within Agile workflows using tools such as JIRA and Confluence.

Experience you'll need to have:

  • 4 years of experience in data engineering or data analytics building production-grade data pipelines and data products using Python and SQL in a commercial environment.
  • 4 years of experience developing and optimizing data solutions on cloud platforms, including hands-on experience with AWS and Snowflake in a data engineering context.
  • 4 years of experience building scalable, low-latency systems or feature components supporting analytics, machine learning, or decisioning use cases.
  • Experience with CI/CD automation and DevOps practices to deploy, monitor, and support data solutions in production environments.
  • Experience working in Agile delivery environments using tools such as JIRA and Confluence or similar work-tracking and collaboration platforms.
  • Demonstrated experience incollaborating with internal and external stakeholders and drive initiatives using excellent verbal and written communication skills.
  • Bachelor's degree or higher in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field, or equivalent combination of education, related experience and/or military experience.

Experience that would be great to have:

  • Experience with real-time and unstructured data pipelines, including streaming and text or document-based data sources.
  • Experience with optical character recognition (OCR), natural language processing (NLP), or AI-driven automation for risk or operational use cases.
  • Experience with machine learning model pipelines, feature stores, or MLOps practices in production environments.
  • Experience in financial technology, payments, merchant acquiring, or lending domains, especially in credit risk or fraud management.
  • Experience using data visualization tools such as Power BI or Tableau to communicate insights to business stakeholders.

How you'll work:

This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.

This role requires use of a computer and audio equipment.

Sponsorship:

You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.

Benefits at Fiserv:

  • Fuel Your Life program to support your physical, financial, social, and emotional well-being.
  • Paid holidays and generous time away policies.
  • No-cost mental health support through Employee Assistance Programs.
  • Living Proof program to recognize your peers' extra effort with points redeemable for rewards.
  • Eight Employee Resource Groups to foster a collaborative culture and expand your network.
  • Unparalleled professional growth with training, development, and internal mobility opportunities.
  • Medical, dental, vision, life, and disability insurance options available from day one.
  • Retirement planning and discounted shares with the Employee Stock Purchase Plan.
  • Tuition assistance and reimbursement program.
  • Paid parental, caregiver, and military leave.

Salary Range

$97,500.00 - $164,400.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

This position is not eligible for an annual incentive opportunity and is also not eligible to earn commissions.

Thank you for considering employment with Fiserv. Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contactAskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements.Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.