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

Kobie Marketing

AI Engineer

Baton Rouge, LA · Remote

Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ... Python, with production experience building and operating services * 1+ years of hands-on work with ...

Kobie Marketing

AI Engineer

Baton Rouge, LA · Remote

Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ... Python, with production experience building and operating services * 1+ years of hands-on work with ...

Cisco

Software Engineer, Backend

Baton Rouge, LA · On-site

$152K - $219K/yr

... monitoring, analytics, and data lakes across Cisco. We'rea small, expert team that owns this ... Programming experience in Rust, Scala, Python. * Experience with observability tooling such ...

Varsity Tutors

Machine Learning Tutor

Baton Rouge, LA · Remote

$18 - $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 ...

EMCO Technologies

Systems Engineer 3

Baton Rouge, LA · On-site

Support centralized logging and analytics through Splunk log forwarding and management. Security ... Ensure data security for information in transit and at rest. * Administer user and group access ...

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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.
Maximo Application Suite (MAS) Technical Engineer

Maximo Application Suite (MAS) Technical Engineer

EMCO Technologies

Baton Rouge, LA • On-site

Full-time

Posted 10 days ago

Job description

We are seeking a highly skilled Maximo Application Suite (MAS) Technical Engineer with 8+ years of Maximo experience and advanced Linux proficiency. This role provides architectural leadership, technical direction, and hands-on implementation expertise to ensure a secure, scalable, and high-performing MAS environment supporting NASA’s Enterprise operations. The engineer will work closely with cross-organizational leadership, stakeholders, vendors, and technical teams to ensure consistent platform reliability and adherence to Enterprise integration standards.

*Must reside within 50 miles of a NASA Center.*

Key Responsibilities• Prepare and present project-related information to executive, leadership, and center teams.

• Lead installation, configuration, upgrades, patching, and troubleshooting activities for MAS.

• Extensive hands-on experience with BIRT reporting and Microsoft Power BI.

• Experience with Enterprise (multi-org, multi-site) reporting platforms and data segregation enforcement via Row-Level Security (RLS).

• Demonstrate advanced knowledge of IBM Maximo architecture, automation scripting, and the Maximo Integration Framework (MIF), including REST API integrations.

• Lead technical design of Enterprise integration architecture supporting NASA Enterprise systems.

• Lead implementation and configuration of secure API management and authentication standards.

• Define API messages, error handling, and monitoring strategies for integrations.

• Perform complex application configuration and develop automation scripts using Python, XML, JavaScript, and JSON.

• Demonstrate advanced knowledge of Linux operating systems and architecture.

• Develop and maintain complex scripting for MAS configurations across multiple environments.

• Configure and support Maximo Mobile, including SSO authentication implementations.

• Create application configurations in Maximo Mobile using the Maximo Application Framework (MAF) Configuration application to modify MAS configurations.

• Manage and support Maximo Application Suite user synchronization with Microsoft Entra ID.

• Demonstrate working knowledge of OpenShift Container Platform within Enterprise Maximo deployments.

• Perform data modeling to support Business Intelligence (BI) reporting needs.

• Utilize Jira Service Management (or comparable ticketing systems) to manage and track technical issues and service requests.

Basic Qualifications
  • Bachelor’s degree in Information Systems, Computer Science, Engineering, Facility/Asset Management, or related field
  • Minimum 8 years of experience in systems engineering or enterprise application support (TRIRIGA, MREF, or Maximo/MAS)
  • Strong hands-on experience administering TRIRIGA, MREF, or Maximo/MAS, including configuration and workflow management
  • Experience supporting multi-environment architectures (development, test, staging, production)
  • Proficiency in diagnosing application, database, and integration issues
  • Experience validating data integrity and supporting reporting enhancements
  • Experience supporting system upgrades, patches, and change deployments
  • Strong analytical, documentation, and problem-solving skills
  • Excellent communication skills with ability to support end users and collaborate across teams
  • High attention to detail and commitment to operational reliability
Preferred Qualifications• Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field.

• Minimum 8+ years of Maximo technical engineering experience.

• Demonstrated expertise in Maximo architecture, MIF, automation scripting, and API integrations.

• Expertise with reporting needs (BIRT, Power BI) and data modeling.

• Advanced Linux experience, including scripting, system operations, and performance management.

• Hands‑on experience with MAS installation, configuration, troubleshooting, and patching.

• Strong understanding of OpenShift, containerization, and enterprise MAS deployments.

• Working knowledge of Maximo Mobile, SSO solutions, and MAF configuration.

• Experience developing automation scripts using Python, XML, JavaScript, and JSON.

• Familiarity with secure API management and authentication frameworks.

• Strong written and verbal communication skills and proven ability to interface with cross‑functional technical and leadership teams.

• Experience using Jira Service Management or similar platforms for issue tracking.

Preferred Qualifications:

• Experience supporting NASA or other federal enterprise Maximo environments.

• Experience designing and maintaining Enterprise‑level integration architectures.

• Familiarity with MAS licensing models, user synchronization methods, or large‑scale environment deployments.

• Experience with performance tuning, high‑availability configurations, or MAS observability tools.

• Experience with IBM TRIRIGA and/or Maximo Real Estate and Facilities (MREF) module

• IBM Maximo Certifications: Certified Deployment Professional or IBM Certified Administrator.

Additional Requirements
  • Must be located within 50 miles of a NASA Center
Clearance Requirement
  • Must be able to obtain and maintain a Public Trust Clearance