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Data Analyst Data Scientist Jobs in Baton Rouge, LA

JM TEST SYSTEMS LLC

Senior Sales Analyst

Baton Rouge, LA · On-site

$80K - $86K/yr

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 ...

Beyond SOF

GIS Data Architect/Analyst

Baton Rouge, LA · On-site

Expertise and/or relevant experience in the following areas are mandatory: • GIS data modeling o For Geospatial Data WarehousingoLinear Referencing Systems • Linear Referencing Methodso ...

Capital City Press

Data Reporter

Baton Rouge, LA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The person in this role should be comfortable requesting data, creating databases, analyzing them and using those to create excellent journalism. We are looking for a self-starter who is comfortable ...

Capital City Press

Data Reporter

Baton Rouge, LA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The person in this role should be comfortable requesting data, creating databases, analyzing them and using those to create excellent journalism. We are looking for a self-starter who is comfortable ...

State of Louisiana

DATA COORDINATOR

Baton Rouge, LA · On-site

... analysis, and reporting of district-wide data to support instructional improvement, operational efficiency, compliance, and strategic decision-making. This role ensures accurate, timely, and secure ...

State of Louisiana

DATA COORDINATOR

Baton Rouge, LA · On-site

Bachelor's degree or higher, in Data Analytics, Information Systems, Education, Statistics, or a related field. Preferred Qualifications * 3-5 years of experience in data management, reporting, or ...

GHD Group

Environmental Scientist

Baton Rouge, LA · On-site

$64K - $85K/yr

Become part of our global network of skilled engineers, scientists, auditors, planners and ... Data Collection and Analysis: Conduct research using primary data sources, and select information ...

GHD

Environmental Scientist

Baton Rouge, LA · On-site

$64K - $85K/yr

Become part of our global network of skilled engineers, scientists, auditors, planners and ... Data Collection and Analysis: Conduct research using primary data sources, and select information ...

EQ Health

IT BI Report Analyst

Baton Rouge, LA · On-site

Assemble and analyze data for business reports, make sure data and calculations are accurate. * Maintain, streamline, and automate monthly, quarterly, and annual compliance reporting. * Create ...

GovernmentJobs.com

Laboratory Scientist

Baton Rouge, LA · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Laboratory Scientist Laboratory Scientists Water/Wastewater work involves: performing a variety of ... Is responsible for sample collection, sample analysis and reporting of compliance data to the EPA ...

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Showing results 41-60

All JobsData Analyst Data Scientist JobsData Analyst Data Scientist Jobs in Baton Rouge, LA

Data Analyst Data Scientist information

See Baton Rouge, LA salary details

$44.2K

$158.5K

$233.8K

How much do data analyst data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analyst data scientist in Baton Rouge, LA is $158,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,200.00 and $163,200.00 per year, depending on experience, location, and employer.

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

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

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

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

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

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

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

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

Data Analyst Data Scientist jobs near you
Infographic showing various Data Analyst Data Scientist job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $158,457 per year, or $76.2 per hour.

Senior Sales Analyst

JM TEST SYSTEMS LLC

Baton Rouge, LA • On-site

$80K - $86K/yr

Full-time

Re-posted 28 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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