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Senior Insurance Data Analytics Jobs in Florida (NOW HIRING)

Position Summary We are seeking a Data Science Manager to drive marketing performance through advanced analytics, predictive modeling, and data-driven insights. This role will partner with Marketing ...

Senior Insurance Product Analyst *Must have have experience with Pricing or Product/State ... Bachelor's degree in Economics, Business, Math, Statistics, Data/Business Analytics, or other ...

Senior Data Analyst

Jacksonville, FL

$77K - $97K/yr

Experience * 3-7 years of experience in data analytics, business analysis, or a related discipline ... Experience with insurance bordereau processing, premium operations, or financial close processes is ...

Senior Data Analyst

Jacksonville, FL · On-site

$77K - $97K/yr

Experience * 3-7 years of experience in data analytics, business analysis, or a related discipline ... Experience with insurance bordereau processing, premium operations, or financial close processes is ...

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Senior Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a Senior Insurance Data Analytics professional, and why are they important?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a Senior Insurance Data Analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by Senior Insurance Data Analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.
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 Senior Insurance Data Analytics jobs? Cities in Florida with the most Senior Insurance Data Analytics job openings:
SQL Database Developer/ Business Intelligence Analyst (Healthcare Data)

SQL Database Developer/ Business Intelligence Analyst (Healthcare Data)

Valora Medical Group

Orlando, FL

Full-time

Posted 12 days ago


Job description

We’re different than most primary care providers. We’re rapidly expanding, and we need great people to join our team!

Valora Medical Group is a visionary company focused on high-quality primary care services and healthcare providers and professionals dedicated to the health and well-being of our patients. At Valora, we treat our patients like family.

We are seeking a Microsoft SQL Database Developer and Business Intelligence Analyst with strong experience in healthcare, Medicare, or health insurance data. This role will design and manage our SQL data environment, build ETL pipelines, develop complex queries, and serve as the data steward responsible for integrating and maintaining multiple healthcare data sources including claims, membership, and operational data.

This position requires working on-site at our Conway, Florida office.

Key Responsibilities

Database Development

Design and maintain SQL Server tables, indexes, views, and stored procedures. Write and optimize complex T-SQL queries. Ensure database performance and scalability.

ETL amp; Data Integration

Develop ETL pipelines using Microsoft tools such as SSIS. Integrate multiple data sources. Automate data ingestion, transformation, and validation workflows.

Healthcare Data Analytics

Analyze Medicare and health insurance data including claims, membership, provider, and utilization data. Support operational and financial analytics.

Business Intelligence

Develop datasets for BI dashboards and reporting. Collaborate with leadership to deliver insights and KPIs.

Data Stewardship

Ensure data quality, governance, and consistency. Maintain documentation and data integrity across systems.

Required Qualifications

Strong experience with Microsoft SQL Server. Advanced T-SQL skills. Experience with ETL processes. Strong understanding of data modeling and relational databases. Experience with healthcare or insurance data.

Preferred Qualifications

Experience with Medicare Advantage data, claims datasets, Power BI, and healthcare analytics including risk adjustment.

EEO Statement: Valora Medical Group, LLC is an equal opportunity employer that does not discriminate on the basis of race, color, religion, creed, sex, national origin, age, disability, pregnancy status, sexual orientation, gender identity, veteran status, marital status, genetic information, citizenship status, or any other status protected by law. In compliance with the Immigration Reform and Control Act of 1986, we will hire only U.S. citizens and aliens lawfully authorized to work in the United States.