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Claims Analyst Jobs in Baton Rouge, LA (NOW HIRING)

Neuromedical Center

Collector

Baton Rouge, LA · On-site

$14.50 - $19.50/hr

Review and manage the Delinquent Claims Report on a monthly basis. * Prepare daily batches and maintain accurate documentation for all batch entries. * Analyze and work Accounts Receivable (A/R ...

Neuromedical Center

Collector

Baton Rouge, LA · On-site

$14.50 - $19.50/hr

Review and manage the Delinquent Claims Report on a monthly basis. * Prepare daily batches and maintain accurate documentation for all batch entries. * Analyze and work Accounts Receivable (A/R ...

Neuromedical Center

Collector

Baton Rouge, LA · On-site

$14.50 - $19.50/hr

Review and manage the Delinquent Claims Report on a monthly basis. * Prepare daily batches and maintain accurate documentation for all batch entries. * Analyze and work Accounts Receivable (A/R ...

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Claims Analyst information

See Baton Rouge, LA salary details

$11

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$40

How much do claims analyst jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for claims analyst in Baton Rouge, LA is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $24.71 per hour, depending on experience, location, and employer.

What are some common challenges a claims analyst faces when handling complex claims, and how are these typically addressed?

Claims Analysts often encounter complex cases that involve ambiguous documentation, multiple parties, or unusual policy details. Navigating these situations requires strong investigative skills, attention to detail, and effective communication with policyholders, healthcare providers, or other stakeholders. To address these challenges, Claims Analysts typically collaborate closely with senior team members, legal counsel, or specialized departments and use claims management software to track progress. Ongoing training and knowledge sharing within the team also play a key role in resolving complex claims efficiently.

What are the key skills and qualifications needed to thrive as a claims analyst, and why are they important?

To thrive as a Claims Analyst, you need strong analytical abilities, attention to detail, and a solid understanding of insurance policies, often supported by a relevant degree in finance, business, or a related field. Familiarity with claims management software, data analysis tools, and knowledge of regulatory compliance are typically required. Excellent communication, problem-solving skills, and the ability to manage time effectively help you stand out in this role. These skills ensure accurate claim evaluations, efficient processing, and high-quality service to both clients and the organization.

What is the difference between Claims Analyst vs Claims Processor?

AspectClaims AnalystClaims Processor
Required credentialsHigh school diploma or equivalent; sometimes certifications in insurance or claims processingHigh school diploma or equivalent; often basic insurance or claims processing training
Work environmentOffice setting, analyzing complex claims, collaborating with adjusters and underwritersOffice setting, reviewing and entering claim data, processing claims efficiently
Employer and industry usageInsurance companies, third-party administrators, healthcare providersInsurance companies, healthcare providers, government agencies

Claims Analysts focus on evaluating complex claims, analyzing data, and making decisions, while Claims Processors handle the day-to-day entry and processing of claims. Both roles are essential in the insurance industry, but Claims Analysts typically require more analytical skills and sometimes additional certifications.

Is being a claims analyst hard?

Claims analysts analyze insurance claims to determine coverage and payout amounts, which requires attention to detail, strong analytical skills, and knowledge of insurance policies. The job can involve repetitive tasks and working under deadlines, but it generally depends on the complexity of claims and the individual's experience. Proficiency with claims processing software and certifications can also influence job difficulty.

What does a claims analyst do?

A claims analyst reviews insurance claims to determine their validity and ensure they comply with policy terms. They analyze documentation, investigate discrepancies, and process claims efficiently, often using specialized software. Strong attention to detail and knowledge of insurance policies are essential for this role.

What is the average salary for a claims analyst in the US?

The average salary for a claims analyst in the US is approximately $50,000 to $65,000 per year, depending on experience, location, and industry. Entry-level roles may start lower, while experienced analysts with certifications can earn higher salaries. Skills in data analysis and familiarity with claims processing software are often valued in this role.

What are the most commonly searched types of Claims Analyst jobs in Baton Rouge, LA?

The most popular types of Claims Analyst jobs in Baton Rouge, LA are:

What are popular job titles related to Claims Analyst jobs in Baton Rouge, LA?

For Claims Analyst jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Claims Analyst jobs in Baton Rouge, LA look for?

The top searched job categories for Claims Analyst jobs in Baton Rouge, LA are:

Claims Analyst jobs near you
Infographic showing various Claims Analyst job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $54,709 per year, or $26.3 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Baton Rouge, LA • On-site

$35/hr

Other

Posted 5 days ago

Key responsibilities

  • Support the design and execution of observational studies using claims and other real-world data sources.

  • Assist in data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques.

  • Build and refine statistical models such as propensity matching and survival analysis under mentorship.

Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

136th of 499 rated machine equipment manufacturers

Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

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