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Data Analyst Data Scientist Jobs in Baton Rouge, LA

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 ...

Varsity Tutors

Data Science Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Munich Re

Technical Architect - Data, Analytics & AI

Baton Rouge, LA · Hybrid

$61.25 - $78.75/hr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

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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.

Data Analyst

Louisiana Primary Care Association

Baton Rouge, LA • On-site

$39K - $72K/yr

Full-time

Re-posted 12 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.