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Insurance Data Analytics Jobs in Louisiana (NOW HIRING)

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

HUB

Cross-Sell Data Analyst, Dynamics 365

Metairie, LA · On-site

$80K - $110K/yr

HUB is a global insurance and employee benefits broker, providing a boundaryless array of business ... Utilize data mining and analytics/AI methods to generate key insights into prospects, such as gaps ...

CSAA

In this role, you will combine insurance domain knowledge, analytical expertise, and technical skills to extract actionable insights, shape data foundations, and foster a datadriven culture. Your ...

CSAA

$16.50 - $22.50/hr

Job Title Insurance Analyst III - Remote Requisition Number R7945 Insurance Analyst III - Remote ... Performs complex analysis of data for assigned client group and how it relates to overall ...

CSAA

Insurance Analyst III - Remote

Iowa, LA · On-site

$17.75 - $24.25/hr

Job Title Insurance Analyst III - Remote Requisition Number R7945 Insurance Analyst III - Remote ... Performs complex analysis of data for assigned client group and how it relates to overall ...

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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 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.

Principal Data & Analytics Governance & Quality Analyst

Blue Cross and Blue Shield of North Carolina

New Orleans, LA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

195th of 315 rated insurance

Job description

Job Description

The Principal Data & Analytics Governance & Quality Analyst leads the development and implementation of the enterprise's Data and Analytics Governance strategy and compliance for business and consumption layer data assets. As the primary data owner, ensure the integrity, quality, and fitness-for-purpose of the organization's critical data and analytics products. Take principal-level responsibility for developing and overseeing data governance strategies, leading cross-functional teams, and driving continuous improvement initiatives. Assumes accountability for the assessment, improvement and governance of quality and ongoing fitness-for-purpose of the organization's foundational data and analytics products.

WhatYou'llDo

  • Lead enterprise data governance councils and subcommittees, driving stewardship practices, policy adherence, and alignment across business and technology stakeholders.

  • Facilitate governance discussions, consultations, and decision-making processes, leveraging strong communication and stakeholder management skills to resolve data-related challenges and enable organizational objectives.

  • Apply knowledge of healthcare data, regulatory requirements, and data governance principles to support data quality, accountability, and effective use of enterprise data assets.

  • Manage Data Asset Strategy & Roadmap (Data asset SME) reflecting their maturity and evolution of data assets to support new/ongoing business and analytic needs.

  • Ensure data assets are governance & Quality compliant across asset lifecycle, and provides assessment based on a data assets fit for purpose, including defining data quality and governance needs, business rules, identifying sensitivity conditions, etc.

  • Strong understanding of the business capabilities addressed by data assets (their fitness for use) and ensure options for data sourcing and re-usability of assets to maximize/optimize usage of quality enterprise assets

  • Provide data and analytic consultation to business & analytics on data assets, or data governance/quality.

  • Gather & maintain data glossary, definitions and data quality rules and other business metadata for 2 or more foundational data domains.

  • Identifies efficiencies and addresses cataloging redundancies across multiple domains

  • Leads and defines the approach needed to support data catalogs and quality monitoring for multiple domains by leveraging data profiling and analysis

  • Accountable for Data Asset launch, adoption and training with Analytics Partners, and users

What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 8+ years of experience in related field

  • In lieu of degree, 10+ years of experience in related field

Bonus Points

  • Experience within the healthcare, health insurance, healthcare analytics, or regulated healthcare environment with knowledge of healthcare data domains, privacy requirements, and industry standards.

  • Professional certifications or training in data governance, data management, analytics, healthcare informatics, project management, or related disciplines

WhatYou'llGet

  • The opportunity to work at thecutting edgeof health care delivery with a teamthat'sdeeply invested in the community

  • Work-life balance, flexibility, and the autonomy to dogreat work

  • Medical, dental, and vision coverage along withnumeroushealth and wellness programs

  • Parental leave and support plus adoption and surrogacyassistance

  • Career development programs and tuition reimbursement for continued education

  • 401k match including an annual company contribution

  • Learn more

Where You'll Work

Our Hybrid Flex approach is built on presence with a purpose - giving you flexibility to work remotely with intentional in-person connection - that supports a workplace that's flexible, connected, and future focused.

In a Hybrid-Flex role, you'll work in the office at least two days a week for collaboration and connection. In a Remote Flex role, you'll work virtually, with a few in-office visits each year for meaningful moments that matter.

Whether your role is Hybrid Flex or Remote Flex depends on the nature of the work and distance from our Durham headquarters. We welcome candidates from outside the local area and in any states listed on this job posting. Onsite expectations will be discussed during the interview process.

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$118,691.00 - $189,906.00

Skills

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JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.

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