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Senior Fraud Risk Analyst Jobs in Louisiana (NOW HIRING)

Kaizen Lab Inc.

Senior Sales Analyst

Baton Rouge, LA · On-site

$70 - $90/hr

We are seeking a Senior Sales Analyst to serve as a keyanalytics resource for our Sales and ... Develop and maintain sales forecasting models and apply predictive analytics to identify at-risk ...

Independent Health Association

Overview The Quality Measurement and Improvement Analyst-Senior will integrate data from multiple sources (claims, membership, provider, risk scores, EMR, ADT, etc.) to develop reports and complex ...

Sarasota County Government

$120K - $125K/yr

In this senior leadership role, you will oversee wastewater treatment facilities, collection and ... Manage proactive assessments of fraud awareness, prevention, detection, and risk mitigation ...

Hancock Whitney Bank

Prepares analysis and reports for Senior Management and the Board Risk Committee. * Participates as a member of various management sub-committees of ALCO: Interest Rate Risk, Funding and Liquidity ...

Hancock Whitney Corp.

ALM Analyst

New Orleans, LA · On-site

Prepares analysis and reports for Senior Management and the Board Risk Committee. * Participates as a member of various management sub-committees of ALCO: Interest Rate Risk, Funding and Liquidity ...

BOOZ, ALLEN & HAMILTON, INC.

$61K - $141K/yr

Your knowledge of compliance, risk management, and analytical workflows will ensure optimized ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

New

Manulife

Senior Underwriting Consultant

Iowa, LA · On-site +1

$87K - $103K/yr

... risk assessment. * Process formal underwriting appeals and complaints. * Review underwriting fraud ... Strong analytical skills; ability to define, research and resolve problems. * Excellent ability to ...

Manulife

$81K - $96K/yr

... risk assessment. * Process formal underwriting appeals and complaints. * Review underwriting fraud ... Strong analytical skills; ability to define, research and resolve problems. * Excellent ability to ...

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All JobsFraud Risk Analyst JobsSenior Fraud Risk Analyst JobsSenior Fraud Risk Analyst Jobs in Louisiana

Senior Fraud Risk Analyst information

See Louisiana salary details

$45.7K

$93.9K

$121.9K

How much do senior fraud risk analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior fraud risk analyst in Louisiana is $93,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,400.00 and $117,200.00 per year, depending on experience, location, and employer.

What does a senior fraud risk analyst do?

A Senior Fraud Risk Analyst is responsible for identifying, assessing, and mitigating risks related to fraudulent activities within an organization. They analyze data, investigate suspicious transactions, and develop strategies to prevent fraud. These professionals also collaborate with other departments, implement fraud detection systems, and ensure compliance with regulations. Their expertise helps protect the organization from financial losses and reputational damage.

How does a senior fraud risk analyst typically collaborate with other departments to identify and mitigate fraud risks?

Senior Fraud Risk Analysts often work closely with teams across the organization, such as compliance, IT, customer service, and legal departments. They collaborate to analyze transaction data, investigate suspicious patterns, and implement new fraud prevention strategies. Regular cross-functional meetings and sharing of insights are crucial to ensure that fraud risks are identified early and addressed effectively. This collaborative approach helps create a comprehensive defense against evolving fraud threats and supports a proactive risk management culture.

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

To thrive as a Senior Fraud Risk Analyst, you need expertise in fraud detection, risk assessment, data analysis, and a bachelor's degree in finance, business, or a related field. Familiarity with anti-fraud software, data analytics tools like SQL or Python, and relevant certifications such as CFE (Certified Fraud Examiner) are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts spot patterns and present findings clearly. These skills are vital for identifying and mitigating fraud risks, protecting organizational assets, and ensuring compliance with regulations.

What is the difference between Senior Fraud Risk Analyst vs Fraud Investigator?

AspectSenior Fraud Risk AnalystFraud Investigator
CredentialsBachelor's degree, certifications like CFE or CPA often preferredBachelor's degree, CFE certification common
Work EnvironmentAnalytical, data-driven, risk assessment teamsInvestigative, interview-focused, field or office-based
Employer & IndustryFinancial institutions, insurance, e-commerceFinancial services, law enforcement, corporate security

While both roles focus on fraud prevention, the Senior Fraud Risk Analyst primarily assesses risks and develops strategies, whereas the Fraud Investigator conducts investigations into specific fraud cases. The analyst role is more analytical and strategic, while the investigator is more hands-on and investigative.

What are popular job titles related to Senior Fraud Risk Analyst jobs in Louisiana?

For Senior Fraud Risk Analyst jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Senior Fraud Risk Analyst jobs in Louisiana look for?

The top searched job categories for Senior Fraud Risk Analyst jobs in Louisiana are:

What cities in Louisiana are hiring for Senior Fraud Risk Analyst jobs?

Cities in Louisiana with the most Senior Fraud Risk Analyst job openings:

Senior Fraud Risk Analyst jobs near you
Infographic showing various Senior Fraud Risk Analyst job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $93,932 per year, or $45.2 per hour.

Senior Sales Analyst

Kaizen Lab Inc.

Baton Rouge, LA • On-site

$70 - $90/hr

Other

Posted 5 days ago

Job description

We are seeking a Senior Sales Analyst to serve as a keyanalytics resource for our Sales and Marketing teams. This role will be responsible for transforming commercial data into actionable insights that drive revenue growth, improve sales effectiveness, and sharpen our go-to-market strategy. The Senior Sales Analyst will own sales performance reporting, pipeline analytics, and marketing ROI analysis — partnering closely with our Chief Revenue Officer and Sales and Marketing leadership. This role will benefit from the foundation built by our broader analytics and AI organizations and will ultimately be responsible for continuing to improve how commercial decisions are made.

Key Responsibilities
  • SalesPerformance Reporting: Own the design, development, and delivery of recurring sales reports and analytics covering revenue by service line, rep-level performance, quota attainment, pipeline health, and customer retention — ensuring Sales leadership has timely, accurate visibility into the results and opportunities.
  • SalesGrowth Analysis: Identify revenue growth opportunities by analyzing trends across accounts, segments, geographies, and service lines using both internal and external data sources. Surface patterns in new logo acquisition, churn, wallet share, and cross-sell to help sales teams focus their energy where it matters most.
  • Marketing& Pipeline Analytics: Support the Marketing function with campaign performance analysis, lead source attribution, and digital channel ROI. Partner with Marketing to connect top-of-funnel activity to downstream pipeline and closed revenue, informing how and where to invest for growth.
  • Sales& Marketing Enablement Tools: Build and maintain self-service tools with the help of AI and our software engineers that put actionable data directly in the hands of our Outside Sales Team, Inside Sales, and Marketing. Reduce manual reporting burdens and create scalable tools the commercial team can rely on day-to-day.
  • CRM& Data Integrity: Partner with Data Engineering to ensure CRM data and underlying transaction data are clean, consistent, and structured to support reliable commercial reporting. Flag data quality issues and drive resolution to maintain the integrity of sales analytics.
  • Forecasting& Predictive Insights: Develop and maintain sales forecasting models and apply predictive analytics to identify at-risk accounts, high-potential prospects, and seasonal revenue patterns. Leverage AI and advanced modeling where appropriate to give the commercial team a forward-looking edge.
  • Cross-Functional Collaboration: Work closely with Sales leadership, Marketing, SalesOperations, and Finance to align on metrics definitions, reporting cadences, and analytical priorities. Translate complex findings into clear narratives and recommendations that drive action at the leadership level.
  • Tool and Technology Evaluation: Stay abreast of emerging analytics and AI tools and technologies, recommending and implementing solutions that enhance the company’s analytics and commercial capabilities.
Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, Math, Sciences, or a related field (Master’s degree preferred).
  • 2+ years of experience in analytics, commercial operations, or a related business analytics role.
  • Proven track record of driving data-driven decision-making and building analytic solutions in a fast-paced environment.
  • Proven track record of developing insights that lead to action and positive results.
  • Experience implementing AI-driven analytics, machine learning models, or predictive analytics in a business context.
  • Strong proficiency in Claude or other LLM development tools, SQL, R, Excel, PowerPoint.
  • Experience collaborating with Data Engineering teams to design and implement data views.
  • Experience working with CRM platforms (e.g., HubSpot, Salesforce) and familiarity with sales engagement or marketing automation tools (e.g., Apollo.io, Clay, Klaviyo).
  • Excellent communication skills, with the ability to translate complex data and AI insights into clear, actionable recommendations for non-technical stakeholders.
  • Strong project management skills, with the ability to prioritize and manage multiple initiatives simultaneously.
  • General understanding of data governance, data quality, and best practices in analytics.
  • Knowledge of data warehousing concepts and ETL processes.
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