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Data Analyst Data Scientist Jobs in Baton Rouge, LA

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

... business analytics, reporting, and data integration. The ideal candidate will have strong ... Bachelor's degree in Information Systems, Data Engineering, Data Science, or a related field, or ...

What We Look For In a Data Analysis Tutor * Advanced Subject Mastery: Deep knowledge of data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Digital Analyst Internships

Baton Rouge, LA · On-site

$94K - $111K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

At least 7-10 years' solid data analytics/science experience, deep technical expertise on ML/NLP/OR, with hands-on capability, Python/SAS/R, Hadoop/Spark* Excellent problem solver, good understand of ...

Showing results 21-40

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:

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.

Data Systems Engineer

PVI Holdings

Baton Rouge, LA • On-site

$109K - $132K/yr

Full-time

Re-posted 14 days ago


Job description

Position Summary
We are seeking a Data Systems Engineer to join our growing organization. This role will support the Director of Data Systems in designing and delivering scalable data solutions that enable business analytics, reporting, and data integration.
The ideal candidate will have strong experience with modern data platforms and a passion for building reliable, high-quality data systems. This role offers a collaborative work environment with opportunities for both in-office and remote work.
Key Responsibilities
  • Assist in the design, development, and maintenance of enterprise data platforms (data lake, warehouse, and lakehouse environments)
  • Partner with business stakeholders and product owners to develop reporting solutions, data extracts, and data models
  • Build and maintain data pipelines and ETL/ELT processes
  • Ensure data quality, integrity, and consistency across platforms such as Microsoft Fabric, Power BI, and Azure
  • Support data visualization and reporting initiatives, including Power BI dashboards and semantic models
  • Deliver project objectives on time, within scope, and with a high level of quality
  • Contribute to data governance, standards, and best practices

Experience & Education
  • Bachelor's degree in Information Systems, Data Engineering, Data Science, or a related field, or equivalent relevant experience
  • 5+ years of experience writing complex SQL queries and working with data models
  • 2+ years of experience developing and maintaining ETL/ELT processes
  • Experience with modern data platforms, including Microsoft Fabric or similar cloud-based solutions

Technical Skills & Tools
  • Microsoft Fabric, Azure Data Services, Databricks
  • Power BI and Power Platform
  • Python
  • DAX
  • Microsoft Dynamics D365 (preferred)
  • Azure DevOps (or similar CI/CD tools)
  • Git version control
  • Advanced SQL (T-SQL)
  • Excel (advanced data manipulation)
  • Development tools such as VS Code and SQL Server Management Studio

Core Competencies
  • Ability to manage multiple concurrent projects and priorities in a fast-paced environment
  • Strong problem-solving and analytical skills
  • Excellent communication skills with the ability to translate technical concepts for business stakeholders
  • High attention to detail and commitment to data quality

Additional Requirements
  • Ability to travel as needed
  • Valid driver's license with a clear driving record
  • Successful completion of background check and drug/alcohol screening