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Insurance Data Analytics Jobs in Louisiana (NOW HIRING)

First American

$73K - $98K/yr

Bachelor's degree in Marketing, Economics, Finance, Statistics, Data Analytics, Business, or a ... Experience in financial services , insurance, banking, lending, fintech, or other regulated ...

First American

Marketing Analyst

Iowa, LA · On-site

$73K - $98K/yr

Bachelor's degree in Marketing, Economics, Finance, Statistics, Data Analytics, Business, or a ... Experience in financial services , insurance, banking, lending, fintech, or other regulated ...

Saronic Technologies

Industrial Engineer

Franklin, LA · On-site

$56K - $76K/yr

Conduct data analysis and generate actionable insights to guide process improvements and decision ... Comprehensive health insurance plans covering a range of services Saronic pays 100% of the premium ...

Poolcorp

Financial Analyst

Covington, LA

PTO increases with tenure!) * 100% employer paid Life Insurance and Long-Term Disability Insurance ... Requirements: * Bachelor's degree in Finance, Accounting, Computer science or Data Analytics.

Pool Corporation

Financial Analyst

Covington, LA · On-site

PTO increases with tenure!) * 100% employer paid Life Insurance and Long-Term Disability Insurance ... Requirements: * Bachelor's degree in Finance, Accounting, Computer science or Data Analytics.

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Insurance Data Analytics information

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.

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.

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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 most commonly searched types of Insurance Data Analytics jobs in Louisiana? The most popular types of Insurance Data Analytics jobs in Louisiana are:
What are popular job titles related to Insurance Data Analytics jobs in Louisiana? For Insurance Data Analytics jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Louisiana look for? The top searched job categories for Insurance Data Analytics jobs in Louisiana are:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Louisiana as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution.

Grantee Evaluation Coordinator/Data Analyst

Louisiana Community and Technical College System

New Orleans, LA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Grantee Evaluation Coordinator/Data Analyst
Job no: 495352
Work type: Staff Full-Time
Location: New Orleans, LA
Categories: Workforce Development & Education
College: DCC
Department: Workforce Development & Education
Sub department: Workforce Development & Education
Type of Appointment: Unclassified - Administrative/Staff
Duties and Responsibilities:
The Grantee Evaluation Coordinator/Data Analyst will be responsible for the GNOIP's participant data collection and tracking. Data collection will occur with Delgado Community College programs and with the SCC4 grant sub awardees. The Coordinator will work with the college partners to develop processes to efficiently and effectively capture student participation and student outcome data required for WIPS (Workforce Integrated Performance System) processing. This will include routine meetings with sub awardees to discuss data processes, monthly monitoring of internal and external data collection, and follow-up on any missing or incomplete data. The Coordinator will also serve as a liaison to the National Study Team and support the team in obtaining grantee signatures for an evaluation data use agreement. Tasks include regular communication with the National Study Team, coordination of data requests from the evaluation team, and communication with sub awardees on evaluation team needs. For all data collected, the data analyst will review to ensure completeness and quality, and will follow up with institutions where there are questions or issues with the data.
The coordinator will also collaborate with the external evaluation coordinator on the required developmental evaluation, as well as the Good Jobs and Equitable Employment Outcomes data review and analysis process. This will include meeting with the external evaluation team, providing an overview of data processes and collections, and assisting in data sharing for the external evaluation.
Required Education: BA in data science/analytics, evaluation, statistics, computer science or related field
Required Experience: 3-5 year experience in higher education and workforce development using and entering data into an ERP system; working knowledge of Banner, CRIS, and tracking student learning outcomes through other government systems
Preferred Education: Masters in data science/analytics, evaluation, statistics, computer science or related field
Preferred Experience: 3-5 year experience in higher education and workforce development using and entering data into an ERP system, including 1-3 years experience in evaluation and/or higher education assessment; working knowledge of Banner, CRIS, and tracking student learning outcomes through other government systems; highly skilled in organization, communication and problem solving
Benefits: As a member of the Louisiana Community and Technical College System, DCC has an attractive benefits package with a wide variety of benefit options. Benefits offered include retirement, multiple medical insurance options, supplemental insurances (dental, term life, disability, accident, vision, etc.), Tax Saver Flexible Benefits Plan (saves tax dollars on some child care and medical expenses), holidays (14 per year, typically includes longer break at Christmas), generous annual (vacation) and sick leave benefits and Employee Assistance Program. Specific benefits depend on job category, percent effort and length of employment.
Passing pre-employment criminal background screen is required as a condition of employment. DCC is a State As a Model Employer (SAME) agency that supports improved employment opportunities for individuals with disabilities.
Advertised: 05 Jan 2026 Central Standard Time
Applications close: 31 Aug 2026 Central Daylight Time
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