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Data Analytics Jobs in Gainesville, FL (NOW HIRING)

Varsity Tutors

Data Analysis Tutor

Gainesville, FL · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

Varsity Tutors

Data Science Tutor

Gainesville, FL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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All JobsData Analytics JobsData Analytics Jobs in Gainesville, FL

Data Analytics information

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$22

$49

$85

How much do data analytics jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data analytics in Gainesville, FL is $49.60, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $56.20 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Gainesville, FL?

The most popular types of Data Analytics jobs in Gainesville, FL are:

What are popular job titles related to Data Analytics jobs in Gainesville, FL?

For Data Analytics jobs in Gainesville, FL, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Gainesville, FL look for?

The top searched job categories for Data Analytics jobs in Gainesville, FL are:

What cities near Gainesville, FL are hiring for Data Analytics jobs?

Cities near Gainesville, FL with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Gainesville, FL as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Temporary. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $103,170 per year, or $49.6 per hour.

Business Data Analyst | Business Analytics | Full-Time | Day

Gainesville, FL • On-site

UF Health
Health Care and Social Assistance • 10K+ employees
Learn more about UF Healthexternal

Full-time

Re-posted 18 days ago

Job description

Overview
The Business Data Analyst develops and maintains decision support, data warehousing, and reporting application systems to meet the information needs of physician practices and the College of Medicine. This role provides advanced reporting and analytics to support strategic business decisions, maintains standard reporting processes, fulfills ad hoc reporting requests, and develops models and forecasts for key business operations.
The Business Data Analyst leverages various databases and analytical tools, including Microsoft Office Suite, SQL Server, R, and SAS, to transform data into actionable insights. The position also supports revenue cycle management through contract performance monitoring, payer analysis, reimbursement modeling, and reporting for clinical, research, and quality improvement initiatives.
Responsibilities
Data Analysis & Reporting
  • Gather, analyze, and document business and reporting requirements.
  • Analyze and interpret complex datasets to identify trends, patterns, and business opportunities.
  • Develop and maintain daily, weekly, and monthly dashboards and performance reports.
  • Produce, publish, and distribute scheduled and ad hoc reports.
  • Provide meaningful interpretation and recommendations based on data analysis.
  • Present findings and insights to stakeholders and senior leadership.

Business Intelligence & Decision Support
  • Develop and maintain decision support and reporting systems.
  • Create forecasting models for key business and operational processes.
  • Support strategic planning and operational decision-making through advanced analytics.
  • Ensure data accuracy, integrity, and consistency across reporting platforms.

Revenue Cycle & Contract Analytics
  • Monitor managed care contract performance and reimbursement trends.
  • Perform detailed analysis of revenue cycle performance by payer and line of business.
  • Identify and resolve issues affecting reimbursement and cash flow.
  • Support payer contract negotiations by modeling reimbursement methodologies and rate proposals.
  • Evaluate physician reimbursement structures and financial impacts.

Clinical & Quality Reporting
  • Produce data and analytics to support clinical, research, and quality improvement initiatives.
  • Analyze healthcare quality measures and performance programs, including MIPS and other value-based initiatives.
  • Collaborate with cross-functional teams to meet reporting and compliance requirements.

Qualifications
Required Education
  • Bachelor's degree in Business Analytics, Computer Science, Engineering, Healthcare Administration, or a related field.
  • Graduate degree strongly preferred.

Required Experience & Skills
  • Advanced proficiency in Microsoft Office applications, particularly Excel.
  • Demonstrated experience with Structured Query Language (SQL).
  • Experience with statistical analysis tools such as R or SAS.
  • Strong knowledge of statistical methods and analytical techniques.
  • Proven experience in data analytics, reporting, and business intelligence.
  • Ability to analyze, interpret, and communicate complex data to diverse audiences.
  • Strong problem-solving, organizational, and analytical skills.
  • Exceptional attention to detail and accuracy.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Excellent written and verbal communication skills.
  • Ability to effectively interact with senior leadership and key stakeholders.

Preferred Qualifications
  • Experience in healthcare analytics or healthcare operations.
  • Experience with SAP BusinessObjects and Epic reporting systems.
  • Knowledge of healthcare quality initiatives, including MIPS and value-based care programs.
  • Experience interpreting managed care contract language.
  • Experience evaluating physician reimbursement and compensation methodologies.

Apply