ZipRecruiter

Log In

1

Data Analyst Ai Jobs in Baton Rouge, LA (NOW HIRING)

JM TEST SYSTEMS LLC

Senior Sales Analyst

Baton Rouge, LA · On-site

$80K - $86K/yr

We are seeking a Senior Sales Analyst to serve as a keyanalytics resource for our Sales and ... of AI and our software engineers that put actionable data directly in the hands of our Outside ...

micro1 AI

Clinical Pharmacy Technicians

Baton Rouge, LA · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

micro1 AI

Pharmacovigilance Expert

Baton Rouge, LA · Remote

$70 - $80/hr

... development of AI-driven tools for pharmacovigilance documentation and analysis. Preferred ... Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level ...

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 ... of AI and our software engineers that put actionable data directly in the hands of our Outside ...

DataAnnotation

FP&A Manager - AI Trainer

Baton Rouge, LA · Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Varsity Tutors

Data Science Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Intermountain Health

HIM Systems Analyst

Baton Rouge, LA · On-site

$31.01 - $48.84/hr

Identifies areas of improvements and processes through data analysis and designs innovative ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

New

DataAnnotation

M&A Associate - AI Trainer

Baton Rouge, LA · Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

EPIC PIPING, LLC

IT Security Analyst

Baton Rouge, LA

Monitor emerging AI-related threats, including prompt injection, data leakage, model misuse, and ... Strong analytical, problem-solving, and communication skills. * Experience supporting manufacturing ...

previous pagenext page

Showing results 21-40

All JobsData Analyst Ai JobsData Analyst Ai Jobs in Baton Rouge, LA

Data Analyst Ai information

See Baton Rouge, LA salary details

$32.6K

$79.4K

$130.6K

How much do data analyst ai jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data analyst ai in Baton Rouge, LA is $79,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,100.00 per year, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

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

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

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

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

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

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

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

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

What cities near Baton Rouge, LA are hiring for Data Analyst Ai jobs?

Cities near Baton Rouge, LA with the most Data Analyst Ai job openings:

Data Analyst Ai jobs near you

Senior Sales Analyst

JM TEST SYSTEMS LLC

Baton Rouge, LA • On-site

$80K - $86K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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.

Please visit our careers page to see more job opportunities.

Apply