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Data Analyst Computer Science Jobs in Baton Rouge, LA

... data migration Minimum qualifications include: * Bachelor's degree in business, computer science ... Strong analytical, problem-solving, and interpersonal skills * Ability to prioritize work, meet ...

Data Engineer

Baton Rouge, LA ยท On-site

$110K - $132K/yr

Qualifications : Required : โ€ข Bachelor's degree in computer science, information systems ... โ€ข Analytic and problem-solving skills and experience. โ€ข Excellent written and oral ...

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

A bachelor's degree in information sciences, computer science, management information systems, or a ... Knowledge of data warehousing concepts * Experience working independently with user stakeholders to ...

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 ...

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Data Analyst Computer Science information

See Baton Rouge, LA salary details

$32.6K

$79.4K

$130.6K

How much do data analyst computer science jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data analyst computer science 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.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What are popular job titles related to Data Analyst Computer Science jobs in Baton Rouge, LA? For Data Analyst Computer Science jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Baton Rouge, LA look for? The top searched job categories for Data Analyst Computer Science jobs in Baton Rouge, LA are:
Infographic showing various Data Analyst Computer Science job openings in Baton Rouge, LA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $79,354 per year, or $38.2 per hour.
Healthcare Optimization Analyst

Healthcare Optimization Analyst

Louisiana Primary Care Association

Baton Rouge, LA โ€ข On-site

Full-time

Posted 21 days ago


Job description

Position Title: Healthcare Optimization Analyst.
Fulltime Exempt.
Supervisor: Manager of Healthcare Technology and Optimization.
ย 
Position Summary: The Healthcare Optimization Analyst at the Louisiana Primary Care Association (LPCA) is responsible for leveraging healthcare data analytics and clinical coordination to drive improvements in patient outcomes, grant performance, and quality initiatives across LPCAโ€™s network of Federally Qualified Health Centers (FQHCs). This role bridges clinical practice and informatics, translating data insights into actionable
strategies for health center staff, and supporting LPCAโ€™s mission to promote accessible, affordable, quality healthcare services for underserved populations

Responsibilities:
Data Analysis & Interpretation:
  • Analyze healthcare datasets using advanced analytical tools and techniques.
  • Interpret data to identify trends, patterns, and actionable opportunities for improvement.
  • Develop visually compelling and informative data visualizations using tools such as Power BI and EMR/EHR systems.

Clinical Coordination & Communication:
  • Collaborate with clinical and informatics teams to ensure data-driven recommendations are effectively implemented.
  • Act as a liaison to communicate analytical findings and strategies to clinical staff.
  • Facilitate 1-on-1 coaching sessions and group training events to promote understanding and adoption of best practices.

Performance Measurement & Reporting:
  • Develop and manage methodologies for data collection and performance measurement.
  • Ensure compliance with grant, contract, and industry reporting requirements.
  • Aggregate, analyze, and report health center data in an accurate and timely manner.
  • Maintain knowledge of reporting standards such as UDS, HEDIS, Meaningful Use, PCMH, and HRSA Quality Reporting.

Continuous Improvement & Knowledge Management:
  • Stay current with industry standards, best practices, and benchmark databases.
  • Continuously assess and optimize data systems to support quality improvement initiatives.
  • Contribute to the development of reports and manuscripts for dissemination and publication.
  • Coordinate and maintain the LPCA database housing all key data measures

Required Skills and Qualifications:
  • Bachelorโ€™s degree in a relevant field (healthcare, informatics, data science, or related discipline); Masterโ€™s degree preferred.
  • At least 2-3 years of experience in healthcare data analytics, informatics, or clinical quality improvement.
  • Proficiency with data visualization tools (e.g., Power BI), EMR/EHR systems, and statistical analysis methods.
  • Strong data management, organization, and communication skills.
  • Experience delivering data summaries and actionable reports to support healthcare process improvement.
  • Familiarity with UDS standards, grant reporting requirements, and primary care quality measures.
  • Demonstrated ability to work collaboratively with clinical, IT, and administrative teams.
ย 
Required Skills and Qualifications:
  • Bachelorโ€™s degree in a relevant field (e.g., Healthcare Informatics, Public Health, Data Analytics) or equivalent combination of education and experience.
  • At least 1 year of experience in data analytics, informatics, or data management, preferably in healthcare; advanced degree (Masterโ€™s) and 2-3 years of experience preferred.
  • Proficiency with EMR/EHR systems and data visualization tools (e.g., Power BI, Tableau).
  • Strong understanding of healthcare quality improvement, outcome measurements, and reporting standards.
  • Experience in developing and delivering data-driven reports and presentations.
  • Excellent communication and interpersonal skills, with the ability to facilitate training and coaching sessions.
  • Ability to manage multiple projects and meet deadlines.
  • Demonstrated cultural competence and awareness of the needs of FQHCs and underserved populations