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Ai Risk Analyst Jobs in Louisiana (NOW HIRING)

JM TEST SYSTEMS LLC

Senior Sales Analyst

Baton Rouge, LA · On-site

$80K - $86K/yr

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 ...

Deloitte

Finance Analytics & AI Manager

New Orleans, LA · On-site

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ...

Deloitte

Finance Analytics & AI Manager

New Orleans, LA · On-site

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ...

micro1 AI

Pharmacovigilance Expert

Lafayette, LA · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

micro1 AI

Clinical Pharmacy Technicians

Lafayette, LA · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

micro1 AI

Clinical Pharmacy Technicians

Baton Rouge, LA · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

The Mutual Group

Lead AI Solutions Engineer

Iowa, LA · On-site +1

$90K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... analysis, code review, quality engineering, and developer productivity. * Build automation ... Partner with Security, Data, Architecture, and AI & Technology Risk Governance teams to ensure AI ...

micro1 AI

Pharmacovigilance Expert

Baton Rouge, LA · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

micro1 AI

Pharmacovigilance Expert

Shreveport, LA · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

micro1 AI

Clinical Pharmacy Technicians

New Orleans, LA · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

micro1 AI

Clinical Pharmacy Technicians

Shreveport, LA · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

micro1 AI

Pharmacovigilance Expert

New Orleans, LA · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... risk assessment methodology. * Hands-on experience with MedDRA coding, seriousness and causality ...

Ochsner Health

Senior AI Scientists

New Orleans, LA · On-site

Design and implement AI and analytics solutions using Snowflake Cortex and related cloud based ... Monitor latency, drift, hallucination risk, and cost while aligning operational practices across ...

Ochsner Health

Senior AI Scientists

New Orleans, LA · On-site

Design and implement AI and analytics solutions using Snowflake Cortex and related cloud based ... Monitor latency, drift, hallucination risk, and cost while aligning operational practices across ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Louisiana

Ai Risk Analyst information

See Louisiana salary details

$13

$34

$56

How much do ai risk analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai risk analyst in Louisiana is $34.62, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $42.12 per hour, depending on experience, location, and employer.

What is an AI risk analyst?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

What skills and qualifications are needed to be an AI risk analyst?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

How does an AI risk analyst collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

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

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

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

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

What cities in Louisiana are hiring for Ai Risk Analyst jobs?

Cities in Louisiana with the most Ai Risk Analyst job openings:

Ai Risk Analyst jobs near you

Senior Sales Analyst

JM TEST SYSTEMS LLC

Baton Rouge, LA • On-site

$80K - $86K/yr

Full-time

Re-posted 29 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 beresponsible for transforming commercial data into actionable insights thatdrive revenue growth, improve sales effectiveness, and sharpen our go-to-marketstrategy. The Senior Sales Analyst will own sales performance reporting,pipeline analytics, and marketing ROI analysis - partnering closely with ourChief Revenue Officer and Sales and Marketing leadership. This role will benefitfrom the foundation built by our broader analytics and AI organizations andwill ultimately be responsible for continuing to improve how commercialdecisions are made.
Key Responsibilities
  • Sales Performance 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.
  • Sales Growth 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, Sales Operations, 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 analytics 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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