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Insurance Data Analytics Jobs in Louisiana (NOW HIRING)

Marketing Analyst

Iowa, LA ยท On-site +1

$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 ...

$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 ...

We are looking for an Insurance Underwriter to join our team in Louisiana. This opportunity is well ... data received from internal and external sources before analysis is finalized * Contribute to ...

Industrial Engineer

Franklin, LA ยท 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 ...

Insurance Supervisor

Baton Rouge, LA ยท On-site

$4.3K - $8.6K/mo

Insurance-Commissioner of Insurance Opening Date: 08/25/2026 Closing Date: 9/1/2026 11:59 PM ... Using Data: The ability to collect, analyze, and use data to generate insights and inform decisions.

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.

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.

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.

Insurance Supervisor

Baton Rouge, LA ยท On-site

$4.3K - $8.6K/mo

The Insurance Supervisor also supports policy development and works closely with division ... Using Data: The ability to collect, analyze, and use data to generate insights and inform decisions.

... Analyst II to join our Global Insurance & Risk Management team. In this role, you will drive ... You will leverage data-driven insights to proactively surface operational exposures, design ...

Showing results 21-40

Insurance Data Analytics information

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 Louisiana?

The most popular types of Insurance Data Analytics jobs in Louisiana 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:

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.

Patient Billing Representative

Five Star Solutions

Shreveport, LA โ€ข Remote

$14/hr

Full-time

Posted 13 days ago


Job description

Join us as a Patient Billing Specialist, where you'll support patients with payment processing, billing education, insurance verification, and claims-related inquiries. This role delivers empathetic, accurate, and compliant service while navigating healthcare billing systems and policies. Agents perform all payment processing and payment plan functions in addition to advanced billing, insurance, and claims support.

This is a remote position for those that reside in = AL, GA, ID, IA, IN, KS, LA, MI, MS, NV, NC, ND, OH, OK, PA, SC, SD, TX, TN, UT, VA, WV, WI, WY

Qualifications
  • Customer service or call center experience required.
  • Healthcare billing, insurance, or claims experience strongly preferred.
  • Payment processing or financial transaction experience preferred.
  • High school diploma or GED required; additional billing or healthcare education a plus.
  • Technical proficiency with EMR systems and standard computer applications.
  • Ability to work independently in a remote or virtual environment.
  • Must be able to speak, read, write, and understand English.
  • Background check required in accordance with applicable laws.
Essential Functions

These functions emphasize patient advocacy, analytical billing expertise, regulatory awareness, and high-quality service delivery.

Patient Payment & Account Support

  • Accurately process patient payments via phone in accordance with Privia financial responsibility policies.
  • Create, update, and maintain payment plans following established guidelines.
  • Ensure transaction accuracy, proper documentation, and data integrity.

Billing, Insurance & Claims Support

  • Interpret and clearly explain claim notes, balances, and billing outcomes to patients.
  • Verify, audit, and update insurance information for completeness and accuracy.
  • Add or update insurance data within the EMR and resubmit pending or corrected claims.
  • Educate patients on billing concepts including coordination of benefits, deductibles, coinsurance, copays, timely filing, and claim denials.
  • Identify discrepancies and coordinate with internal teams to resolve billing-related issues.

Problem Resolution & Patient Education

  • Research account history to determine the root cause of billing or payment concerns.
  • Recommend appropriate resolutions and next steps in alignment with Privia policies.
  • Maintain professionalism and empathy during complex or sensitive financial discussions.

Resource & System Utilization

  • Utilize Privia-approved billing systems, EMR platforms, tools, and knowledge resources.
  • Navigate multiple systems simultaneously while assisting patients.
  • Adhere to all documentation, privacy, and security requirements.

Reliability & Continuous Learning

  • Maintain schedule adherence and consistent availability during assigned hours.
  • Complete all required Privia and client-mandated training.
  • Participate in ongoing uptraining and cross-training initiatives.

Ethical & Compliant Conduct

  • Uphold HIPAA requirements, confidentiality standards, and Privia security protocols.
  • Demonstrate professionalism, accountability, and patient-centered service in all interactions.
Requirements
  • Strong verbal and written communication skills.
  • Analytical problem-solving abilities and high attention to detail.
  • Solid understanding of healthcare billing and insurance concepts.
  • Ability to clearly explain complex billing information in patient-friendly language.
  • Comfort working across multiple systems and tools simultaneously.
  • Organized, self-motivated, and collaborative approach to work.
Pay and Benefits

Starting pay - $14/hr plus shift differential(extra $1/hr nights & wkds)

Working hours between - 8:00am-5:00pm (CST) ; Work Days - M-Fย 

Paid Training - typically 2 weeks in length from 8:00am-5:00pm Mon-Fri (CST)

Status - Full Time 40 hours, Benefit eligible 1st of month after 60 daysย 

$14 - $14 an hour

The above statements are intended to describe the general nature and level of work and are not intended to be an exhaustive list of all responsibilities, duties, and skills required of the job

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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