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

Cornerstone Research

Analyst

Baton Rouge, LA

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

Cornerstone Research

Analyst

Baton Rouge, LA · On-site

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

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All JobsResearch Data Analyst JobsResearch Data Analyst Jobs in Baton Rouge, LA

Research Data Analyst information

See Baton Rouge, LA salary details

$37K

$71K

$95.6K

How much do research data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for research data analyst in Baton Rouge, LA is $71,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $94,600.00 per year, depending on experience, location, and employer.

What is a research data analyst?

A Research Data Analyst is a professional who collects, processes, and analyzes data to support research projects across various fields, such as healthcare, social sciences, or business. They use statistical tools and programming languages to interpret complex data sets and help researchers draw meaningful conclusions. Their responsibilities often include data cleaning, statistical analysis, and visualization of results for reports or publications. Research Data Analysts play a crucial role in ensuring the quality and integrity of the data used in research studies.

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

To excel as a Research Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with statistical software (e.g., R, SAS, SPSS), data visualization tools (like Tableau or Power BI), and programming languages (such as Python) is typically required. Attention to detail, critical thinking, and the ability to clearly communicate complex findings are crucial soft skills. These competencies ensure accurate data interpretation, effective collaboration with research teams, and impactful decision-making based on reliable insights.

What are some common challenges research data analysts face when working with large datasets, and how are they addressed?

Research Data Analysts often encounter challenges such as data inconsistencies, missing values, and integrating data from multiple sources when working with large datasets. Addressing these challenges typically involves implementing rigorous data cleaning protocols, utilizing statistical software for data validation, and collaborating closely with research teams to understand the context behind the data. Analysts may also create documentation and standardized procedures to streamline future data processing and ensure data integrity. Staying updated with best practices in data management can help mitigate many of these issues.

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

AspectResearch Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; often certifications in data toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or training
Work EnvironmentResearch institutions, universities, or corporate research divisionsTech companies, finance, healthcare, or any industry leveraging big data
Employer & Industry UsageAcademic, government, and research organizationsPrivate sector, startups, and large corporations

Research Data Analysts focus on analyzing data to support research projects, often working within academic or research settings. Data Scientists have a broader scope, including building predictive models and advanced analytics across various industries. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and work on complex data modeling tasks.

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

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

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

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

Research Data Analyst jobs near you
Infographic showing various Research Data Analyst job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $63,912 per year, or $30.7 per hour.

Data Analyst, Senior

Virginia Farm Bureau Mutual

Baton Rouge, LA • Hybrid

$67K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Are you looking for a great team environment?  Southern Farm Bureau Casualty Insurance Company is currently seeking a Data Analyst, Senior. 

Southern Farm Bureau is a great company and an excellent place to work. The Company offers a family-oriented work environment and a rich benefit package including paid time off, company matched 401(k), pension/retirement, medical, dental, vision, group life, accidental death and dismemberment, employee assistance program, a continued education program, and a hybrid home/office work schedule.  This position is located in Ridgeland, MS, Baton Rouge, LA, Cayce, SC and Little Rock, AR. 

The Data Analyst, Senior will direct and perform logical data modeling, identify patterns in data, design, analyze and document the enterprise data warehouse and ETL processes supporting it.  This team member actively participates in Data Governance initiatives to support the Enterprise Data Strategy across operational and analytical database environments. This position will work closely with the Data Analyst Lead working close to support the Enterprise Data Warehouse.

Essential Functions

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Analyze and mining business data to identify patterns and correlations among the various data points.

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Map and trace data within the enterprise data framework in order to solve a given business or system problem.

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Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.

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Perform statistical analysis of the enterprise data.  Extract existing data to manipulate/calculate/format into useful presentations.

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Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies .

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Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.

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Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision. 

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Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.  

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Must support innovations by actively keeping technical and professional business knowledge current on emerging technology and  Data Trends which may fit with enterprise needs.  Must be able to research and accurately articulate benefits and goals of these technologies.

Additional Responsibilities

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Regular and predictable attendance is required.

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Other duties as assigned.

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