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

EBRPHA

Housing Data Analyst

Baton Rouge, LA

Job Summary The Housing Data Analyst is responsible for providing financial and data analysis in support of the organization's affordable housing portfolio, with a primary focus on Low-Income Housing ...

Partners Southeast

Housing Data Analyst

Baton Rouge, LA · On-site

$40K - $60K/yr

Job Summary The Housing Data Analyst is responsible for providing financial and data analysis in support of the organization's affordable housing portfolio, with a primary focus on Low-Income Housing ...

Partners Southeast

Housing Data Analyst

Baton Rouge, LA · On-site

Job Summary The Housing Data Analyst is responsible for providing financial and data analysis in support of the organization's affordable housing portfolio, with a primary focus on Low-Income Housing ...

All JobsData Analyst JobsData Analyst Jobs in Baton Rouge, LA

Data Analyst information

See Baton Rouge, LA salary details

$32.6K

$79.4K

$130.6K

How much do data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data analyst 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 the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Baton Rouge, LA? The most popular types of Data Analyst jobs in Baton Rouge, LA are:
What are popular job titles related to Data Analyst jobs in Baton Rouge, LA? For Data Analyst jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Baton Rouge, LA look for? The top searched job categories for Data Analyst jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Data Analyst jobs? Cities near Baton Rouge, LA with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Baton Rouge, LA as of July 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 69% In-person, 10% Hybrid, and 21% Remote job distribution, with an average salary of $79,354 per year, or $38.2 per hour.
Data Analyst

Data Analyst

Louisiana Primary Care Association

Baton Rouge, LA • On-site

$39K - $72K/yr

Full-time

Posted 22 days ago

Job description

 Position Title:             Data Analyst
                                    (Fulltime Exempt) 
 
Supervisor:                 Director of Health Information Technology
 
Position Summary:    Manage and coordinate performance data collection, feedback, and reporting for all quality initiatives; Engage members through relevant data reports and comparisons; Provide direct support to health centers in data collection, monitoring the completeness and accuracy of reported data, and ensuring compliance with process and outcome measure definitions.
 
Minimum Qualifications:
  • A Bachelor's degree or an equivalent combination of education and experience and 1 year of experience from which comparable knowledge and skills can be acquired is necessary.

Preferred Qualifications:
  • An advanced degree (Masters) and 2-3 years of experience from which comparable knowledge and skills can be acquired.

Responsibilities:
  • Analyzing and leveraging the collected data
  • Interpreting data
  • Acting as a liaison between clinical and informatics staff teams
  • Developing strategies and best practices to incorporate into future information systems and policies.
  • Manage and coordinate performance data collection, feedback, and reporting for all quality initiatives.
  • Engage members through relevant trend information, data reports and comparisons. 
  • Provide direct support to health centers in data collection, monitoring the completeness and accuracy of reported data, and ensuring compliance with process and outcome measure definitions.
  • Develop and manage data collection methodologies for multiple performance measures to meet the deliverables on all grants/contracts. 
  • Demonstrate an understanding of reporting requirements for all grants and contracts.
  • Aggregate, analyze, and report health center data collection and reporting processes ensuring timely and accurate delivery of reports.
  • Work collaboratively with all program staff, HIE entities, and solutions staff in communicating needs regarding databases and reporting tools.
  • Develop summary reports and presentations demonstrating performance trends. 
  • Maintain knowledge of the Uniform Data Set (UDS) for health centers.
  • Identify and maintain knowledge of state and national benchmark databases including Healthy People 2020, HEDIS, Meaningful Use, PCMH, and HRSA Quality Reporting.
  • Develop and maintain a method to continuously assess a data systems approach for quality of care coordination interventions, which lead to extraction and use of quantitative and qualitative data.
  • Participate in developing reports and/or manuscripts for dissemination and publication.  
  •  Coordinate database that houses all LPCA data measures that include those from HRSA PCA grant, and other grants.
Required Skills:
  • Familiarity with EMR/EHR systems
  • Familiarity with data visualization tools such as Tableau, Power BI etc.
  • At least three years of experience in data analytics, informatics, data management, preferably working with health data.
  • Familiar with UDS standards and reporting  
  • Experience with primary care, clinical quality improvement or outcome measurements.
  • Experience delivering critical data summaries and reports necessary for planning and improvement of processes. 
  • Experience in working with multiple entities to collect data and produce reports. 
  • Experience in collecting, editing, analyzing and charting numerical data.
  • Strong data management and organization skills.
  • Creativity and vision to organize data in meaningful presentation formats to deliver key messages.
  • Ability to organize and manage multiple projects/tasks and meet deadlines.
  • Awareness of the needs of FQHCs, medically underserved populations, demonstrates cultural competence, and shows interest in learning about community-based primary health care systems.