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

Danaher

Digital Analyst Internships

Baton Rouge, LA · On-site

$94K - $111K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

FocusKPI

Marketing Operations Analyst

Baton Rouge, LA · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

PVI Holdings

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 ...

Varsity Tutors

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 ...

Wood Plc

GIS Analyst - FEMA

Baton Rouge, LA · Remote

Compile, manipulate, and refine geographic data from a variety of sources including hydraulic ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...

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

Python Data Analyst information

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$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 Analyst (SR-5269058-DA)

Data Analyst (SR-5269058-DA)

LMG Technology Services LLC

Baton Rouge, LA • Remote

Other

Re-posted 24 days ago

Job description

Remote - United States

I.  DESCRIPTION OF SERVICES

The scope of the proposed services will include the following:

  • Coordinate various data sources within an organization.
  • Perform data profiling and discovery.
  • Gather and interpret business requirements.
  • Create data documentation.
  • Perform data modeling and design.

II.  CANDIDATE SKILLS AND QUALIFICATIONS

Years

Required/Preferred

Experience

2

Required

Working on data migration or data integration projects with specific experience with cleaning data, running basic reports, and maintaining existing dashboards.

2

Required

SQL experience writing queries to extract data from relational databases.

2

Preferred

Programming languages commonly used for data analysis such as Python or R.

2

Preferred

Experience with data visualization tools such as Tableau, Power BI, or Looker.

2

Preferred

Working on a development team.

2

Preferred

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

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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