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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:

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 ...

Akiva AI LLC

Senior Application Programmer

Baton Rouge, LA · On-site

$125K - $175K/yr

This role spans the full application lifecycle-from requirements analysis through deployment and ... Python, SQL, PowerShell/Bash | Databases: SQL Server | AI & Agentic Systems: LLM-based agents ...

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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 Jul 11, 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.

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.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
More about Python Data Analyst jobs
What are popular job titles related to Python Data Analyst jobs in Baton Rouge, LA? For Python Data Analyst jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Baton Rouge, LA look for? The top searched job categories for Python Data Analyst jobs in Baton Rouge, LA are:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Baton Rouge, LA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $79,354 per year, or $38.2 per hour.

Data Reporter

Capital City Press

Baton Rouge, LA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

Job Title: Data Reporter

One of the newsiest – and most fun – cities in America needs a data reporter who can pull key insights out of complex databases, use data to bolster investigations and distill dense numbers into reader-friendly copy and graphics.
The Times-Picayune | The Advocate is looking for a nimble data reporter to join our investigative team. The person in this role should be comfortable requesting data, creating databases, analyzing them and using those to create excellent journalism.
We are looking for a self-starter who is comfortable taking the lead on data journalism across our platforms.
Our data reporter will work with both short-term and long-term stories and deadlines, as they will both contribute to daily coverage and to our ongoing investigations and projects. While their job will be primarily data-driven, they should have sound news judgement and understanding of how to deepen news coverage with data.
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 data
-Interest in finding stories and insights from dense databases that cover a range of topics, from crime to education to Census figures
-A collaborative nature and willingness to work closely with reporters, our graphics editor and our digital team for online data displays
-High journalism standards for accuracy and accountability, including a willingness to ensure your databases are bulletproof
We are the largest news organization in the state, with newsrooms that work collaboratively across New Orleans, Baton Rouge, Acadiana and Shreveport. Our data reporter can be based in any of those cities but should be willing to work with reporters across our markets.
Applicants should send in their resume, cover letter and examples of three different stories they’ve worked on with data elements and explain their role in crafting each of those. Feel free to reach out to hiring editor Andrea Gallo with any questions: agallo@theadvocate.com.

The Advocate is an equal employment opportunity employer, committed to recruiting, developing, and promoting a diverse workforce while providing unique opportunities and career paths for our employees. We encourage applicants of all backgrounds and experience levels to apply.

Salary: Commensurate with experience

Benefits: Medical, dental, vision, Life, Short Term Disability (STD), Long Term Disability (LTD), Paternity Leave, PTO and 401k Retirement Savings company match.