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Python Data Analyst Jobs in Louisiana (NOW HIRING)

TSS Data Analyst Senior

Bossier City, LA · Hybrid

$85K - $107K/yr

Experience with Python * Experience with leading/managing and mentoring a small team of Data Analysts in support of development initiatives * Strong Excel background; familiarity with other Microsoft ...

... using analytical tools such as SAS, SPSS, R, Python, Matlab, Java etc. * Preferred: 1+ years ... Strong background in a data driven environment that demonstrates ability to develop, build and ...

Build project-level data models (SQL, and some Python) to support analytics and reporting deliverables; test outputs against source systems and expected business logic. * Gather and document ...

Build project-level data models (SQL, and some Python) to support analytics and reporting deliverables; test outputs against source systems and expected business logic. * Gather and document ...

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 ...

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Python Data Analyst information

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How much do python data analyst jobs pay per year?

As of Jun 20, 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.

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 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 are popular job titles related to Python Data Analyst jobs in Louisiana? For Python Data Analyst jobs in Louisiana, the most frequently searched job titles are:
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What cities in Louisiana are hiring for Python Data Analyst jobs? Cities in Louisiana with the most Python Data Analyst job openings:
TSS Data Analyst Senior

TSS Data Analyst Senior

GDIT

Bossier City, LA • Hybrid

$85K - $107K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

70th of 204 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Secret

Clearance Level Must Be Able to Obtain:

Secret

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Agile Methodology, People Leadership, Structured Query Language (SQL), Tableau Desktop, Tableau Server

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

Deliver insights to help our clients turn data into action as a Data Analyst Senior at GDIT. Your work will provide transformative solutions to our clients' big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients' mission and on your career.

At GDIT, people are our differentiator. As a Data Analyst Senior, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Data Analyst Senior joining our team to develop customer dashboards, perform deep dive analytics, and deliver customer solutions. As a Data Analyst Senior, you will support customers within GDIT to fulfill multiple federal agency missions.

The TSS Data and Analytics team uses a variety of tools including Azure and Azure DevOps, AWS, and Tableau. The Tableau dashboards provide program management and financial dashboards to customers allowing them to manage risk and provide the essential reporting to their government customers.

GDIT is committed to fostering economic growth and prosperity in Louisiana with an established operation at our Integrated Technology Center in Bossier City, LA. This position requires 3 days of work per week at our office.

HOW A DATA ANALYST SENIOR WILL MAKE AN IMPACT:

  • Conduct market research and define industry best practices for decision-making
  • Creating, refining, and delivering reports, dashboards, and database solutions for internal or external purposes
  • Mentor a small team of Data Analysts in support of development initiatives
  • Utilize Power BI, Power Apps, excel, and/or other business intelligence tools
  • Provide data analytics and key insights
  • Highlight and define Key Performance Indicators (KPIs) to measure performance across different sections
  • Collaborate with a team of developers, analysts, and engineers to determine feature requests, priorities, dashboards, and solutions.
  • Writing user stories, acceptance criteria, test plans, and retrospectives to improve Agile development processes.
  • Performing Quality Assurance (QA) testing of new features to ensure that requirements are met, and the resulting user experience works as intended.
  • Participating in and supporting user acceptance testing and the deployment of the solution to production.
  • Preparing and conducting presentations and training materials.
  • Creating and maintaining documentation.
  • Collaborate with a team of developers, analysts, and engineers to deliver on-time Agile sprint releases.

WHAT YOU'LL NEED TO SUCCEED:

Education: BA/BS (or equivalent years of experience)

Required Experience: 5+ years of experience

Security Clearance Level:Must possess and maintain an active Secret clearance

US Citizenship Required

Required Skills and Abilities:

  • Strong experience leveraging Structured Query Language (SQL), specifically developing tables, views, and stored procedures
  • Strong experience developing dashboards using Power BI or equivalent business intelligence tools to create professional content
  • Experience leveraging Databricks or similar toolsets
  • Experience with Python
  • Experience with leading/managing and mentoring a small team of Data Analysts in support of development initiatives
  • Strong Excel background; familiarity with other Microsoft tools (Outlook, Word, Excel, PowerPoint)
  • Ability to effectively manage multiple competing priorities at any given time.
  • Good team player, able to manage multiple assignments, and adapt to changing client needs.
  • Outstanding communication skills with the ability to present to business leaders.
  • Strong analytical and problem-solving skills
  • Ability to work independently and part of a team
  • Knowledge of Agile methodology
  • Familiarity with Azure DevOps or similar tool(s)
  • Strong project management skills, ability to work towards a deadline and lead a small team of analysts

Work Location: Candidates must reside within the state of Louisiana and be able to work a hybrid schedule at GDIT's Integrated Technology Center in Bossier City, LA.


GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Flexibility: Full-flex work week to own your priorities at work and at home
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $85,000 - $115,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Hybrid

Work Location:

USA LA Bossier City

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US