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Insurance Data Analytics Jobs in Florida (NOW HIRING)

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

Senior Data Analyst

Boca Raton, FL · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into a legal plan, pet insurance, and travel accident coverage. For Your Family

Senior Data Analyst

Boca Raton, FL · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

Collaborate with insurance brokers, carriers, and industry professionals on renewal strategies to ... analytical, organizational, and communication skills. * Proficiency in Microsoft Excel and data ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

Bachelor's degree is required in Business Analytics, Computer Information Systems, Industrial ... insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

Showing results 41-60

Insurance Data Analytics information

See Florida salary details

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How much do insurance data analytics jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for insurance data analytics in Florida is $40.91, according to ZipRecruiter salary data. Most workers in this role earn between $32.88 and $46.35 per hour, depending on experience, location, and employer.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

What are the most commonly searched types of Insurance Data Analytics jobs in Florida?

The most popular types of Insurance Data Analytics jobs in Florida are:

What cities in Florida are hiring for Insurance Data Analytics jobs?

Cities in Florida with the most Insurance Data Analytics job openings:

Infographic showing various Insurance Data Analytics job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $85,097 per year, or $40.9 per hour.

Title Director of Data & Analytics | Full-Time | Benchmark International Arena

Oak View Group

Tampa, FL

$95K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Oak View Group rating

6.2

Company rating: 6.2 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

23rd of 36 rated event venues


Job description

Director of Data & Analytics | Full-Time | Benchmark International Arena
Location US-FL-Tampa
Job Post Information* : Posted Date 3 days ago(8/14/2026 10:57 AM)
Job ID 2026-34119
Category Accounting / Finance
Type Regular Full-Time
Location : Location US-FL-Tampa
Job Post Information* : External Company Name Oak View Group
Job Post Information* : External Company URL https://www.oakviewgroup.com/
Location : Postal Code 33602
Location : Address 401 Channelside Dr
Job Post Information* : Post End Date 11/13/2026
Overview

The Director of Data & Analytics is a strategic business partner to the General Manager and senior leadership team, responsible for leading the organization's analytics, financial reporting, forecasting, budgeting, and business intelligence functions. This role transforms complex operational and financial data into clear, actionable insights that drive revenue growth, profitability, operational efficiency, and informed decision-making. The Director will oversee the development and delivery of accurate, timely, and meaningful financial and operational reporting across the organization, with particular emphasis on food & beverage, premium hospitality, concessions, events, labor, purchasing, and other revenue-generating operations. The position will work closely with Finance, Operations, Food & Beverage, Premium, Sales, Marketing, Human Resources, and external partners to establish performance expectations, identify trends and opportunities, and hold teams accountable to financial and operational goals.

This role pays an annual salary of $95,000-$105,000 and is bonus eligible.

Benefits for Full-Time roles: Health, Dental and Vision Insurance, 401(k) Savings Plan, 401(k) matching, and Paid Time Off (vacation days, sick days, and 11 holidays).

This position will remain open until November 13, 2026.

Responsibilities

Financial Reporting & Business Performance

  • Serve as the primary analytics and financial reporting partner to the General Manager.
  • Lead the preparation, analysis, and presentation of monthly, quarterly, and annual financial and operational reporting.
  • Develop executive-level dashboards and scorecards that clearly communicate business performance, trends, risks, and opportunities.
  • Analyze revenue, expenses, profitability, labor, per-capita spending, attendance, transactions, purchasing, and other key performance indicators.
  • Establish meaningful financial and operational benchmarks and monitor performance against budget, forecast, prior year, and established targets.
  • Provide clear explanations of significant variances and develop recommendations for corrective action.
  • Partner with department leaders to improve financial accountability and ownership of results.
  • Ensure financial reporting is accurate, consistent, timely, and aligned with organizational standards.
  • Lead the annual budgeting process in partnership with the GM, Finance, and department leaders.
  • Develop and maintain accurate forecasts based on event schedules, attendance expectations, historical performance, operational trends, and current business conditions.
  • Provide financial modeling and scenario analysis to support strategic and operational decisions.
  • Evaluate the financial impact of new initiatives, capital projects, concessions concepts, premium offerings, events, staffing models, and other business opportunities.
  • Monitor forecast-to-actual performance and proactively identify emerging financial risks and opportunities.
  • Support long-range financial planning and strategic business initiatives.
  • Develop and maintain a comprehensive analytics strategy that supports organizational priorities and the General Manager's objectives.
  • Create dashboards and reporting tools that provide leaders with real-time or timely visibility into key performance indicators.
  • Identify trends and opportunities through analysis of historical, current, and predictive data.
  • Translate complex data into concise, actionable recommendations for executive and operational leaders.
  • Establish standardized definitions, methodologies, and reporting practices to ensure consistency and accuracy across departments.
  • Identify opportunities to automate reporting and improve the efficiency and reliability of data collection and analysis.
  • Evaluate data quality and work with internal and external technology partners to resolve data integrity issues.

Revenue & Profitability Optimization

  • Partner with Food & Beverage, Premium, and other revenue-generating departments to maximize revenue and profitability.
  • Analyze per-capita spending, transaction counts, product mix, pricing, labor, cost of goods, throughput, and guest purchasing behavior.
  • Identify opportunities to increase revenue, improve margins, reduce costs, and enhance the guest experience.
  • Develop analytical models to evaluate menu performance, pricing strategies, staffing requirements, product offerings, and operational concepts.
  • Provide post-event analysis and recommendations to improve future event performance.
  • Support leadership in identifying the financial return of capital investments and operational improvements.

Event & Operational Analytics

  • Develop event-level reporting that evaluates attendance, revenue, expenses, labor, per-capita spending, profitability, and other relevant metrics.
  • Analyze performance by event type, event size, day of week, season, product category, location, and other relevant variables.
  • Provide timely pre-event forecasts and post-event analysis to support operational decision-making.
  • Identify performance gaps and opportunities across concessions, premium spaces, clubs, suites, catering, and other F&B operations.
  • Partner with Operations to establish measurable performance standards and accountability metrics.

Executive Partnership & Communication

  • Serve as a trusted advisor to the General Manager and senior leadership team on financial and business performance.
  • Present financial and operational insights to executive leadership in a clear, concise, and compelling manner.
  • Develop executive presentations and reporting packages for leadership meetings, ownership/partner meetings, and other key business reviews.
  • Communicate complex financial and analytical information in a manner that is easily understood by non-financial leaders.
  • Challenge assumptions and provide objective, data-driven perspectives to support sound business judgment.
  • Proactively identify issues rather than simply reporting results after the fact.

Team Leadership & Cross-Functional Collaboration

  • Lead, develop, and establish priorities for the analytics and reporting function.
  • Build strong relationships across Finance, Operations, F&B, Premium, HR, Sales, Marketing, IT, and other departments.
  • Establish a culture of accountability, continuous improvement, and data-driven decision-making.
  • Collaborate with external operating partners, vendors, and technology providers as appropriate.
  • Ensure analytics resources and reporting priorities are aligned with the organization's strategic direction.
Qualifications
Required Qualifications
  • Bachelor's degree in Finance, Accounting, Business Analytics, Economics, Data Analytics, or a related field.
  • 5-7 years of previous experience leading data & analytics initiatives, preferably at an arena, stadium, convention center, or similar.
  • Demonstrated experience with budgeting, forecasting, financial modeling, and executive-level reporting.
  • Strong understanding of financial statements, operating budgets, profitability analysis, and variance analysis.
  • Advanced proficiency in Microsoft Excel and experience with business intelligence and data visualization platforms.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Demonstrated ability to translate data into actionable business recommendations.
  • Excellent written, verbal, and presentation skills.
  • Experience working with large and complex data sets from multiple systems.
  • Demonstrated ability to manage multiple priorities and meet deadlines in a fast-paced environment.
Preferred Qualifications
  • Experience in professional sports, arenas, stadiums, entertainment, hospitality, food & beverage, or other event-driven businesses.
  • Experience with event-level financial analysis and forecasting.
  • Experience analyzing per-capita revenue, transaction counts, labor productivity, cost of goods, and product mix.
  • Experience with Power BI, Tableau, or similar business intelligence platforms.
  • Experience with ERP, POS, labor management, inventory, and financial systems.
  • Experience managing or developing an analytics team.
  • Experience working with operating partners, ownership groups, or other external stakeholders.
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