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

Varsity Tutors

Machine Learning Tutor

Baton Rouge, LA · Remote

$40/hr

... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Maximus

AI/ML Software Developer

Baton Rouge, LA · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

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$12

$56

$82

How much do python data analysis jobs pay per hour?

As of May 31, 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.
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Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Baton Rouge, LA as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $117,084 per year, or $56.3 per hour.

ETL Developer (SR-5269058-DEV)

LMG Technology Services LLC

Baton Rouge, LA • Remote

$49 - $64/hr

Full-time

Posted 13 days ago

Job description

Remote – United States

I. DESCRIPTION OF SERVICES

The scope of the proposed services will include the following:

  • Design, develop, and maintain ETL processes and systems.
  • Create and implement ETL strategies to meet LDWF and OTS requirements.
  • Collect, clean, and integrate data from various sources, including structured and unstructured data.
  • Develop and maintain data models and data mappings.
  • Ensure data quality and integrity by implementing data validation and error handling processes.
  • Collaborate with LDWF stakeholders and OTS technical teams to define and prioritize requirements.
  • Provide technical knowledge transfer, training, and documentation to OTS and LDWF Agency staff for all requested work.
  • Participate by providing feedback and detailed design and implementation approaches in all necessary team meetings and design sessions in accordance with Scrum ceremonies.
  • Cooperation with LDWF’s Technical Architect and other OTS technical teams to ensure compliance with OTS standards of State applications.
  • Perform all other tasks, special projects, analysis, studies, and plans as directed.

II. CANDIDATE SKILLS AND QUALIFICATIONS

Years

Required/Preferred

Experience

2

Required

Advanced SQL experience writing complex queries, joins, and stored procedures to identify anomalies and transform data types.

4

Required

Working on data migration or data integration projects with specific experience in building automated, repeatable workflows; performance tuning; data cleansing; API integration; audit logging and exception handling.

2

Preferred

Completion of two or more full-scale data migration projects (legacy to cloud or legacy to modern ERP/CRM).

2

Preferred

Experience with enterprise ETL tools such as Informatica, Talend, AWS Glue, Azure Data Factory, or SSIS.

2

Preferred

Scripting languages such as Python, PowerShell, Java.

2

Preferred

Working on a development team.

2

Preferred

Experience with client engagements on design, delivery, deployment and on-going maintenance.

2

Preferred

Working in an Agile/Scrum environment.

Note: Expected Start Date 07/01/2026 and Expected End Date 06/30/2029.

Hours worked should be within the State’s core hours of 7:00 AM CT to 6:00 PM CT. In addition, Contractor personnel may be required to work on State holidays, weekends and hours outside of the State’s core business hours in order to meet critical deadlines.

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