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

Capital City Press

Data Reporter

Baton Rouge, LA · On-site

We are looking for someone with: -Prior professional journalism experience -The ability to use tools such as Python, SQL or R to scrape, clean and analyze data -Familiarity with using GIS and mapping ...

Capital City Press

Data Reporter

Baton Rouge, LA · On-site

We are looking for someone with: -Prior professional journalism experience -The ability to use tools such as Python, SQL or R to scrape, clean and analyze data -Familiarity with using GIS and mapping ...

Lantern

Strategy Analyst

Baton Rouge, LA · On-site

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Integer

Autonomous Systems Engineer

Baton Rouge, LA · On-site

Analyze experimental data, compare results with model predictions, and use findings to improve ... Proficiency in Python and/or C++, and comfort with a scientific computing environment such as ...

Varsity Tutors

Business Analytics Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Baton Rouge, LA

Python Data Analyst information

See Baton Rouge, LA salary details

$32.6K

$79.4K

$130.6K

How much do python data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for python 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 does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python data analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $79,354 per year, or $38.2 per hour.

Advisory Manager - Application Development Services

Lindsay & Brownell

Baton Rouge, LA • On-site

$70K/yr

Full-time

Posted yesterday

New

Job description

Job Description

Designing, developing, and testing scalable, secure, and responsive web applications - C#, .NET, SQL, JavaScript; Implementing data warehouses, developing SSIS ETL processes, and power BI dashboard providing real time data analytics to clients; Developing scalable microservices applications, facilitating enterprise API integration to deliver payment, mail, email for multiple diverse projects with minimal code repetition; Designing and developing SQL relational databases and writing complex data analysis SQL queries; Developing robust Power BI dashboards and SSRS reports providing a fast and secure analytics platform; Developing solutions for large amounts of data processing and transferring by consuming enterprise APIs; Developing Python scripts to clean and process unusable dataset and automate data analysis; and Working on multiple active projects in Scrum/Agile environment and efficiently managing tasks between projects using JIRA issue tracking system.

SALARY: $70,000 per year

Preferred Location:
Baton Rouge

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