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Insurance Data Analytics Jobs in Tampa, FL (NOW HIRING)

The role involves designing, building, and optimizing scalable data pipelines, enabling analytics ... Insurance Education Requirements * Bachelor's/master's in computer science or equivalent (can be ...

Knowledge of advanced analytics techniques and predictive modeling. * Familiarity with cloud-based ... Comprehensive health, dental, and vision insurance. * Retirement savings plan with company match.

Knowledge of advanced analytics techniques and predictive modeling. * Familiarity with cloud-based ... Comprehensive health, dental, and vision insurance. * Retirement savings plan with company match.

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Insurance Data Analytics information

See Tampa, FL salary details

$23

$51

$89

How much do insurance data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for insurance data analytics in Tampa, FL is $51.74, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $58.61 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 cities near Tampa, FL are hiring for Insurance Data Analytics jobs?

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

Infographic showing various Insurance Data Analytics job openings in Tampa, FL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $107,612 per year, or $51.7 per hour.

Sr. Analyst, Risk Data & Analytics

Saint Petersburg, FL

Raymondjames
10K+ employees

$81K - $102K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

Job Description Summary

Develops conceptual, logical, and physical data models supporting an organization's structured data resources, including databases, data warehouses, and data marts.

Job Description

Job Summary

Raymond James is seeking a Senior Analyst with strong analytical, technical, and communication skills to support Risk Management through data, reporting, and analytics. This role is critical in understanding front-line processes, analyzing and transforming data, developing reporting and visualization solutions, and collaborating with IT to integrate data across multiple departments. Under limited supervision, you will collaborate and play a key role in shaping the firm's risk information and analytics capabilities. This position requires exceptional analytical ability, attention to detail, and hands-on experience with data and business intelligence tools.

Please note: This role is not eligible for immigration Work Visa sponsorship, either currently or in the future.

Essential Duties and Responsibilities

  • Advance data, reporting, and analytics capabilities for Risk Management, ensuring deliverables meet business needs, enterprise standards, and regulatory expectations.
  • Develop and maintain reporting, dashboarding, and analytical solutions using approved data and business intelligence tools.
  • Extract, transform, reconcile, and analyze data from multiple source systems to support risk measurement and decision-making.
  • Collaborate with business stakeholders and IT delivery teams to translate business needs into data requirements, analytical logic, and reporting solutions.
  • Identify opportunities for process optimization and automation within assigned workflows.
  • Translate technical and analytical findings into clear, compelling narratives through dashboards, presentations, and executive summaries.
  • Manage multiple priorities and deadlines using effective project management and time-tracking practices.

Knowledge of:

  • Risk Management principles and practices, including market, credit, and liquidity risk.
  • Agile methodologies and iterative delivery environments.
  • Analytical and business intelligence tools and platforms, including SQL, Python, Excel, Tableau, and Qlik.
  • Data preparation, cleansing, reconciliation, validation, and basic data modeling concepts.

Skill in:

  • Extracting, manipulating, transforming, and analyzing data from multiple source systems using SQL, Python, Excel, Tableau, and Qlik.
  • Developing dashboards, reports, visualizations, and analytical outputs.
  • Reconciling and validating data to ensure accurate and consistent results.
  • Translating business and risk objectives into data requirements, analytical logic, reporting specifications, and technical documentation.
  • Communicating technical insights effectively through presentations and visual storytelling.

Ability to:

  • Hand write SQL (required) and Python (preferred)
  • Collaborate with business partners to understand their processes and translate them into data, reporting, and analytical solutions.
  • Analyze complex datasets, identify patterns or anomalies, and develop actionable insights.
  • Develop and maintain queries, scripts, technical documentation, and instructions.
  • Adapt quickly to evolving needs and deliver concise, actionable insights under tight timelines.
  • Work independently and prioritize and manage multiple tasks.
  • Build and maintain productive relationships with internal and external stakeholders.
  • Develop and justify data-driven recommendations that consider constraints and potential outcomes.

Education/Previous Experience

  • Bachelor's Degree and a minimum of three (3) years of relevant experience in financial services, data analytics, business intelligence, or a related field.
  • OR
  • Any equivalent combination of education, training and/or experience approved by Human Resources.

Education

Bachelor's: Business Administration, Bachelor's: Computer and Information Science, Bachelor's: Finance

Work Experience

General Experience - 3 to 6 years

Certifications

Travel

Less than 25%

Workstyle

Hybrid

The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.

At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
Grow professionally and inspire others to do the same
Work with and through others to achieve desired outcomes
Make prompt, pragmatic choices and act with the client in mind
Take ownership and hold themselves and others accountable for delivering results that matter
Contribute to the continuous evolution of the firm

At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.

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