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

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Experience with programming, AI, data analytics (Coding agents, Python, R, VBA, SQL, etc.). * A mindset that balances technical proficiency with practical outcomes. Why J H? Real growth opportunities ...

Senior AI/ML Engineer

Baton Rouge, LA · Remote

$90 - $100/hr

Experience Requirements: * 10+ years in Software or IT with 7+ years in data analysis, AI ... Strong Python skills with TensorFlow and PyTorch. * Proven AWS expertise including Bedrock, Lambda ...

... 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 ...

Senior Software Engineer II

Baton Rouge, LA · On-site +1

$197K - $232K/yr

We analyze and carefully consider several factors when determining compensation, including work ... Python) and strong fundamentals in data structures, algorithms, and system design. * Hands-on ...

Analyze, map, and document business processes; translate process requirements into agentic ... Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.

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 ...

Sensor Fusion & State Estimation Work with sensors and sensor data (e.g., GPS, IMU, LiDAR, sonar ... Strong proficiency in modern programming languages (e.g., C++, Python) and experience with ...

Sensor Fusion & State Estimation Work with sensors and sensor data (e.g., GPS, IMU, LiDAR, sonar ... Strong proficiency in modern programming languages (e.g., C++, Python) and experience with ...

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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 Jun 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.

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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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 useful for data analysts?

Python is highly useful for data analysts as 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.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
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:
Infographic showing various Python Data Analyst job openings in Baton Rouge, LA as of June 2026, with employment types broken down into 3% As Needed, 38% Full Time, 49% Part Time, 9% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $79,354 per year, or $38.2 per hour.
Project Engineer - Oil & Gas

Project Engineer - Oil & Gas

J H Operating Company LLC

Baton Rouge, LA • On-site

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

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Job description

Project Engineer

Location: Baton Rouge, Louisiana
Full-time | Entry-Level to Early Career | Engineering, Procurement & Construction Management (EPCm)


Looking to grow your engineering career with a team that actually supports your development?


Welcome to J H Operating Company — a hands-on, fast-moving EPCm firm where you're more than just a cog in the machine. We support upstream and midstream oil & gas projects across the U.S., and we’re looking for a Project Engineer to join our Baton Rouge office.

This is a great opportunity for a recent graduate or an early-career engineer (3–5 years) to work side-by-side with industry veterans and learn by doing. Promotion potential? Absolutely — we expect it after just 6–12 months if you're the right fit.


What You’ll Do:

  • Assist in the design, procurement, and execution of complex infrastructure projects (e.g., production facilities, terminals, SWDs, pipelines).
  • Collaborate with Facility Engineers and Project Managers to carry projects from concept to commissioning.
  • Get involved in everything — from developing P&IDs to field commissioning and PSSR walkthroughs.
  • Contribute to safety reviews (HAZOPs, PSSRs), perform quality control inspections, assist with job book compilation, and support seamless client handoffs.
  • Review drawing packages (P&IDs, 3Ds, orthos, isometrics) and ensure accuracy.
  • Help size and procure equipment, manage purchase orders, and track costs.
  • Learn tools like ProMax, Autodesk, and internal systems (we’ll train you).
  • Research and develop tools or processes when the team hits a new challenge.
  • Travel occasionally to job sites, vendor locations, and client facilities (10–15%).


What We’re Looking For:

  • Bachelor’s degree in Engineering or a related scientific field (3.5+ GPA preferred).
  • 0–5 years of experience in engineering, EPC, or oil & gas preferred.
  • Solid communication skills — you’ll talk with clients, team members, and vendors.
  • Eager to learn and comfortable asking questions (and answering a few too).
  • Willing to work hard, stay organized, and bring a little personality to the table.
  • Willing to travel as needed (10–15%) and able to pass a drug screen.


Bonus Points For:

  • Familiarity with ASME, ANSI, and API standards.
  • AutoCAD or drafting experience.
  • Experience with programming, AI, data analytics (Coding agents, Python, R, VBA, SQL, etc.).
  • A mindset that balances technical proficiency with practical outcomes.


Why J H?

Real growth opportunities.
‍♂️ Exposure to full project lifecycles.
Smart, supportive teammates – zero micromanagers, plenty of mentors.
Clear path to promotion.

Company Description

J H Operating Company offers engineers, designers, and project professionals the opportunity to work on real oil and gas facility projects with direct impact. JH operates as an owner-focused EPCm firm, meaning teams are involved early, make practical decisions, and see projects through from concept to construction and commissioning.
Employees at JH work in small, highly capable teams where individual contributions matter. The company emphasises technical competence, accountability, and transparency, giving team members visibility into how projects are planned, executed, and delivered.
JH supports professional growth by exposing employees to multiple disciplines, project phases, and client interactions. The organization values efficiency, problem-solving, and ownership, creating an environment where people who want responsibility and hands-on experience can grow quickly.