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Python Data Analyst Jobs in Louisiana (NOW HIRING)

Object oriented programming (Java, Python) * Data Analysis experience using large datasets and databases to solve problems * Familiarity with control theory and applications * Experience with custom ...

Object oriented programming (Java, Python) * Data Analysis experience using large datasets and databases to solve problems * Familiarity with control theory and applications * Experience with custom ...

Object oriented programming (Java, Python) * Data Analysis experience using large datasets and databases to solve problems * Familiarity with control theory and applications * Experience with custom ...

Object oriented programming (Java, Python) * Data Analysis experience using large datasets and databases to solve problems * Familiarity with control theory and applications * Experience with custom ...

Object oriented programming (Java, Python) * Data Analysis experience using large datasets and databases to solve problems * Familiarity with control theory and applications * Experience with custom ...

Object oriented programming (Java, Python) * Data Analysis experience using large datasets and databases to solve problems * Familiarity with control theory and applications * Experience with custom ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

... Python, C#, or Java for data manipulation and automation purposes. * Familiarity with data security protocols and compliance standards related to data management. * Strong analytical and problem ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

... Python, C#, or Java for data manipulation and automation purposes. * Familiarity with data security protocols and compliance standards related to data management. * Strong analytical and problem ...

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Python Data Analyst information

See Louisiana salary details

$29.1K

$70.7K

$116.3K

How much do python data analyst jobs pay per year?

As of Jul 10, 2026, the average yearly pay for python data analyst in Louisiana is $70,668.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,400.00 and $82,900.00 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.
What are the most commonly searched types of Python Data Analyst jobs in Louisiana? The most popular types of Python Data Analyst jobs in Louisiana are:
What cities in Louisiana are hiring for Python Data Analyst jobs? Cities in Louisiana with the most Python Data Analyst job openings:
Infographic showing various Python Data Analyst job openings in Louisiana as of July 2026, with employment types broken down into 3% Internship, 89% Full Time, 5% Part Time, and 3% Contract. Highlights an 77% In-person, 5% Hybrid, and 18% Remote job distribution, with an average salary of $70,668 per year, or $34 per hour.
Integration Test Engineer II

Integration Test Engineer II

Textron

New Orleans, LA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago


Textron rating

8.3

Company rating: 8.3 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

26th of 61 rated aerospace companies


Job description

About This Role
We believe people should love what they do, and this position provides an opportunity to do just that.
This position will be part of the Systems Integration and Test (SIT) Engineering team focusing on supporting the Ship-to-Shore Connector (SSC) Landing Craft Air Cushion (LCAC), next generation hovercraft program. Primary duties would be supporting the rollout of production crafts into testing; troubleshooting a variety of multi-discipline, complex issues throughout testing and systems integration; driving continuous improvement through feedback to design/quality/manufacturing and root cause analysis (RCA); and supporting fielded crafts in concert with our Navy customer.
You will be part of highly skilled, multi-discipline engineering team and, as such, will need the ability to effectively interface and communicate with other team members and across engineering disciplines. This also extends out to the broader team of pilots, test conductors, technicians, and other engineering groups. You will have the opportunity to travel and to contribute to the effectiveness and reliability of systems that are saving lives and protecting our warfighters.
Responsibilities
  • Review engineering system designs: models, drawings, design intents, and specifications for assessment of systems
  • Support the Navy customer to maximize uptime and minimize recurrence of issues.
  • Create, maintain, and communicate thorough technical documentation on all efforts
  • Analyze and maintain interface control documents and other technical documents required to troubleshoot the craft
  • Familiarize and analyze applicable MIL-STD, MIL-DTL, MIL-HDBK, and similar standards documentation related to SSC design
  • Attend meetings to deliver, schedule, and review technical status
  • Independently assess complex issues crossing multiple craft systems
  • Apply methodical processes and documentation to resolve issues
  • Analyze electrical, mechanical drawings, and apply data to ongoing troubleshooting
  • Analyze textual vendor and customer documentation and apply to ongoing troubleshooting
  • Develop imaginative, thorough, practicable technical solutions to a wide range of difficult system-of-systems problems
  • Serve as a technical resource to others within the work group, department, and the organization.
  • Conduct liaison activities with subcontractors and external manufacturers, as well as internal and external customers at all levels.

Qualifications
Education:
  • B.S. in Mechanical Engineering, Electrical Engineering, Computer Engineering, Systems Engineering or related engineering discipline from an ABET accredited university

Position Requirements:
  • Two plus (2+) years of relevant or leverageable experience
  • Excellent written and verbal communication skills including preparation of design documentation
  • Effective presentation skills
  • Solid working knowledge of Microsoft Office products (i.e., Outlook, Word, Excel, PowerPoint, and Visio)
  • Secret eligibility required
  • Ability to interact effectively across all levels of the organization.
  • Must have demonstrated the ability to successfully initiate and carry to completion assignments of major responsibility and of the most complex and technical nature.
  • Ability to adapt and learn new technical information in a targeted manner that may be outside of a single discipline to fully understand and troubleshoot multi-disciplinary systems
  • Ability to work independently, learn new tasks/handle multiple tasks, solve problems, meet deadlines, and show strong self-motivation and initiative.
  • Ability to maintain a positive outlook and stay solution driven under high pressure

Preferred Skills :
  • Active Secret Clearance
  • Object oriented programming (Java, Python)
  • Data Analysis experience using large datasets and databases to solve problems
  • Familiarity with control theory and applications
  • Experience with custom engineering system design and troubleshooting with minimal off-the-self parts
  • Experience with turbine engines, turboshaft engines optimal
  • Scripting in LINUX and Windows operating systems
  • Hands on mechanical troubleshooting experience
  • Hands on electrical troubleshooting experience
  • General understanding of and ability to work with serial and network communication protocols
  • Experience with Root Cause Analysis (RCA) methodologies (fishbone, why-why, etc.)
  • Experience with Reliability analysis and improvement methods (MTBF, MTTR, etc.)
  • Experience with flight control systems, directly with Landing Craft, Air Cushion (LCAC) experience is optimal.
  • Experience with military sites and systems

How We Care
At Textron Systems, our talented people make us successful. Our Company is committed to offering employees opportunities to grow and develop. Our benefits and compensation packages are designed to help our talented employees excel and achieve their goals, so they can make a difference every day in and outside of the workplace. Below are just a few examples!
- Flexible Work Schedules
- Education Assistance
- Career Development & Training Opportunities
- Wellness Program (including Fitness Reimbursement)
- Medical, Dental, Vision & 401(K) with Company Funding
- Paid Parental Leave
Are you a Military Veteran?
Textron's products and services are trusted everyday by those who protect our country. We are dedicated to hiring these Veterans and aim to translate their skills to make an impact on our Company.

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About Textron

Sourced by ZipRecruiter

Textron Systems is part of Textron, a $14 billion, multi-industry company employing 35,000 talented makers, thinkers, creators and doers worldwide. We make things that fly, hover, zoom and launch. Things that move people. Protect soldiers. Power industries. We serve customers in industries spanning aerospace and defense, specialized vehicles, turf care and fuel systems.

Industry

Aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Providence, RI, US

Year founded

1923