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Internship Insurance Data Analytics Jobs in Florida

DTCC

Your work may support data analysis, process analysis, business requirements, data quality ... At DTCC, interns contribute to meaningful work while learning how the financial markets operate ...

New

Carrier

Data Analytics Manager

FL · On-site

$96K - $192K/yr

Leads collection of industry data, conducts complex market research, analysis, evaluations and ... Life Insurance and Accidental Death and Dismemberment * Tax-Advantaged Accounts: Health Savings ...

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Internship Insurance Data Analytics information

What is an internship in insurance data analytics?

An Internship in Insurance Data Analytics is a temporary position for students or recent graduates to gain practical experience analyzing data within the insurance industry. Interns typically assist with collecting, interpreting, and presenting data to help insurance companies make informed decisions about risk, pricing, and customer trends. The role often involves using statistical tools, working with large datasets, and supporting data-driven projects. It provides valuable exposure to both the insurance sector and the field of data analytics, helping interns develop technical and professional skills.

What are the key skills and qualifications needed to thrive as an insurance data analytics intern?

To thrive as an Insurance Data Analytics Intern, you need a solid understanding of statistics, data analysis, and basic insurance concepts, often supported by coursework in mathematics, economics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for accurately analyzing insurance data, supporting business decisions, and contributing meaningful insights to the team.

What types of projects can I expect to work on during an insurance data analytics internship?

As an Insurance Data Analytics intern, you will typically assist with analyzing large datasets to identify trends, assess risk factors, and support decision-making for underwriting or claims teams. Your daily tasks might include data cleaning, building dashboards, and generating reports using tools like Excel, SQL, or Python. You'll likely collaborate closely with experienced data analysts, actuaries, and other departments to translate data insights into actionable business strategies. These projects offer valuable exposure to industry-standard analytics practices and contribute to real business outcomes.

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 are popular job titles related to Internship Insurance Data Analytics jobs in Florida?

For Internship Insurance Data Analytics jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Internship Insurance Data Analytics jobs in Florida look for?

The top searched job categories for Internship Insurance Data Analytics jobs in Florida are:

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

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

Internship Insurance Data Analytics jobs near you
Infographic showing various Internship Insurance Data Analytics job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

DATA ANALYTICS & REPORTING MANAGER

ONE ALLIANCE INSURANCE MANAGERS INC

Sarasota, FL • On-site

Other

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

Job description

Job Description
Job Description

The Data Analytics and Reporting Manager is responsible for leading the day-to-day execution of OANA's Data & Analytics organization, ensuring the successful delivery of reporting, analytics, data engineering, data integration, and operational data services across the enterprise.

This role serves as the operational leader of the Data Team and is accountable for managing the team's daily workload, project execution, production support, incident management, stakeholder engagement, and personnel development. The Data Analytics and Reporting Manager executes the strategic vision established by the Director of Data & Software Development and ensures alignment with enterprise architecture, governance standards, and business priorities.

As OANA continues its modernization journey through the Cortex Data Mesh platform, this role will help drive the implementation and operation of enterprise data products, APIs, reporting solutions, and analytical capabilities that support Underwriting, Claims, Accounting, Sales, Risk Management, and future business domains.

KEY RESPONSIBILITIES

Team Leadership & People Management

  • Lead and manage daily operations of the Data & Analytics team
  • Conduct regular one-on-one meetings and performance reviews
  • Manage employee performance, coaching, mentoring, and career development
  • Establish workload priorities and resource allocation
  • Support recruiting, interviewing, onboarding, and training activities
  • Develop succession plans and growth opportunities within the team
  • Foster a culture of accountability, continuous improvement, and customer service

Data Delivery & Operational Management

  • Own successful execution of enterprise reporting, dashboards, data products, and engineering initiatives
  • Ensure timely delivery of Accounting month-end, Claims, Underwriting, Executive, and Regulatory reporting
  • Manage data integration efforts, operational support, production incidents, and data quality investigations
  • Monitor team performance against service level agreements and delivery commitments

Project & Portfolio Execution

  • Oversee data platform initiatives, BI projects, reporting enhancements, data migration, and API development
  • Lead sprint planning, backlog grooming, resource planning, and task prioritization
  • Manage dependencies, identify risks, and maintain stakeholder communication
  • Provide regular status updates to the Director of Data & Software Development

Incident & Production Support Management

  • Serve as operational owner for data incidents, reporting failures, integration/ETL issues, and data quality concerns
  • Lead incident triage, root cause analysis, escalation management, and resolution tracking
  • Develop preventative action plans and maintain proper monitoring and support processes

Data Product & Data Mesh Operations

  • Support implementation and operation of OANA's Cortex Data Mesh architecture
  • Manage data product lifecycle, quality monitoring, domain ownership, and data catalog maintenance
  • Ensure data products remain aligned with enterprise standards and business requirements

API & Integration Delivery

  • Lead operational delivery of APIs and integrations, including but not limited to Guidewire InsuranceSuite.
  • Manage API backlog, integration prioritization, data contracts, and performance monitoring
  • Support the evolution of Cortex as the enterprise source of truth and integration hub

Stakeholder Management

  • Act as primary operational contact for Accounting, Claims, Underwriting, Sales, Risk Management, and IT Operations
  • Lead requirement clarification, prioritization discussions, status communications, and issue resolution
  • Escalate strategic decisions and conflicts to the Director.

TECHNICAL RESPONSIBILITIES

The Data Analytics and Reporting Manager should possess sufficient technical expertise to guide the team, review designs, and participate in solution architecture discussions across the following areas:

Data Architecture

  • Data Mesh, Data Warehouse, Data Lakehouse, Operational Data Stores
  • Master Data Management and Data Product architecture

Software Development Practices

  • Agile/Scrum, SDLC, CI/CD, Source Control, API Lifecycle Management, Testing Methodologies

Data Engineering

  • ETL/ELT methodologies, data modeling, transformation and quality frameworks, data lineage

Analytics & Reporting

  • Executive dashboards, operational reporting, self-service analytics, KPI development, performance scorecard

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field
  • 10+ years in Data Analytics, Business Intelligence, Data Engineering, or Data Management
  • 10+ years of Property & Casualty insurance industry experience
  • 3+ years of leadership experience managing technical teams
  • Experience managing both analysts and engineers
  • Experience delivering enterprise reporting and analytics solutions
  • Strong understanding of data architecture principles
  • Experience leading Agile teams and project delivery
  • Strong communication and stakeholder management skills

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