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Python Data Analysis Jobs in Baton Rouge, LA (NOW HIRING)

Data Science Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Digital Analyst Internships

Baton Rouge, LA · On-site

$94K - $111K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

... business analytics, reporting, and data integration. The ideal candidate will have strong ... Python * DAX * Microsoft Dynamics D365 (preferred) * Azure DevOps (or similar CI/CD tools) * Git ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for python data analysis in Baton Rouge, LA is $56.29, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $63.94 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are popular job titles related to Python Data Analysis jobs in Baton Rouge, LA? For Python Data Analysis jobs in Baton Rouge, LA, the most frequently searched job titles are:
Infographic showing various Python Data Analysis job openings in Baton Rouge, LA as of July 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $117,084 per year, or $56.3 per hour.
Data Analytics Coordinator

Data Analytics Coordinator

Louisiana Primary Care Association

Baton Rouge, LA • On-site

Full-time

Re-posted 11 days ago


Job description

Position Title: Data Analytics Coordinator
Fulltime Exempt
Supervisor: Analytics and Research Manager | Healthcare Technology and Optimization Manager | HCCN Project Manager
Position Summary: The Data Analytics Coordinator at the Louisiana Primary Care Association (LPCA) is responsible for supporting comprehensive data analytics initiatives and research activities across LPCA's network of Federally Qualified Health Centers (FQHCs). This role leverages analytical tools and methodologies to extract meaningful insights from healthcare data, supporting evidence-based decision-making and quality improvement efforts. The Data Analytics Coordinator collaborates with cross-functional teams to ensure completeness and accuracy of reports for process improvement, research initiatives, and grant compliance, while supporting LPCA's mission to promote accessible, affordable, quality healthcare services for underserved populations.
Responsibilities:
  • Collaborate with cross-functional teams to identify research objectives and key performance indicators (KPIs),
  • Develop reports and organize data visuals to communicate findings to stakeholders,
  • Assist in designing and executing research studies, including surveys, experiments, and observational studies,
  • Stay up-to-date with industry trends and best practices in analytics and research methodology,
  • Support the development and implementation of data-driven strategies to drive business growth and optimize performance,
  • Perform ad-hoc analysis and provide actionable recommendations to stakeholders,
  • Compile data and ensure validity from multiple assessments to develop profiles for each grant,
  • Create surveys and coordinate administration of surveys,
  • Query and translate data visually into tables, charts, graphs, and narrative presentations to produce user-friendly reports,
  • Support compliance efforts company grants to protect the confidentiality and accuracy of data,
  • Analyze, synthesize, and interpret reports for use in decision-making.

Requirements:
  •  Bachelor's degree. Minimum of 1-2 years of relevant experience in data analysis, research, project coordination, or administrative support, preferably in healthcare or government settings
  • Experience with data collection methodologies and report preparation
  • Understanding of one or more data analysis tools and programming languages such as Python, R, SQL, etc.
  • Proficiency with Microsoft Office Suite, particularly Excel for data manipulation and analysis
  • Experience with data aggregation and data visualization tools like Excel and Smartsheet
  • Familiarity with population health tools like i2i and Azara (preferred)
  • Knowledge of report writing and data presentation techniques
  • Detail-oriented with a strong commitment to accuracy and quality,
  • Ability to work independently and collaboratively in a fast-paced environment,
  • Communicate effectively, verbally, and in writing.