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Python Data Analyst Jobs in Louisiana (NOW HIRING)

GDIT

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 ...

GDIT

TSS Data Analyst Senior

Bossier City, LA · Hybrid

$85K - $107K/yr

As a Data Analyst Senior, you will help ensure today is safe and tomorrow is smarter. Our work ... Familiarity with Python or similar programming language * Strong project management skills, ability ...

Pwc

GenAI Python Systems Engineer-Manager

New Orleans, LA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Pwc

AI & GenAI Data Scientist-Director

New Orleans, LA

$155K - $410K/yr

... Python and C++ to develop and deploy AI models - Managing complex data analysis and confirming data quality and integrity within analytics frameworks - Encouraging creativity and innovation in ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Louisiana

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 31, 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.
More about Python Data Analyst jobs
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:
What job categories do people searching Python Data Analyst jobs in Louisiana look for? The top searched job categories for 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:
Python Data Analyst jobs near you
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 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $70,668 per year, or $34 per hour.

Data Analyst

Louisiana State University

Alexandria, LA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

Job description

About Us:
Louisiana State University of Alexandria is a publicly supported institution that provides undergraduate level college education to the citizens of Central Louisiana. The university is a unit of the LSU System and operates under the auspices of the Louisiana Board of Regents. LSUA is located in Rapides Parish.
All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.
Job Posting Title:
Data Analyst
Position Type:
Professional / Unclassified
Department:
LSUA ASA - Institutional Research and Effectiveness (Rocaille Von Roberts (00252662))
Work Location:
LSU - Alexandria
Pay Grade:
Professional
Job Description:
DEPARTMENT: Office of Institutional Research & Effectiveness
POSITION TITLE: Data Analyst
SUPERVISOR: Director, Office of Institutional Research & Effectiveness
PURPOSE: Responsible for supporting official university reporting. This includes
understanding and analyzing university data to produce required reports as well as providing data, trends and analyses to university stakeholders.
RESPONSIBILITIES:
  • Provide accurate data and reports to university departments as needed to enhance student success and operational efficiency across academic, student support and administrative areas.
  • Write programming scripts to enhance functionality and/or performance of university applications as necessary.
  • Work collaboratively with IET Services and other university offices to facilitate strong data governance and ensure the integrity of data in the university's data systems.
  • Develop and maintain technical documentation (e.g. data definitions, code documentation, standard operating procedures, etc) for data, reports and projects.
  • Coordinate the completion of required state and federal data reports, including but not limited to submissions to the Louisiana Board of Regents, National Student Clearinghouse, and IPEDS.
  • Respond to internal and external ad hoc requests for university data.
  • Support data needs for ongoing assessment, program review, strategic planning, accreditation and related activities.
  • Research, analyze, and interpret university data and trends to support data-driven decision-making across university stakeholders.
  • Develop dashboards and other online data tools to enhance data accessibility across university stakeholders.

QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Decision Science/Analytics, Business Administration, Applied Statistics, or a related field, or a minimum of five (5) years of experience in a database or systems analyst related field, preferably in higher education. Candidates with 3-5 years of experience in Institutional Research in higher education are strongly encouraged to apply.
  • Excellent understanding of coding methods and best practices.
  • Extensive experience in data analysis using tools such as R, SPSS, SAS, Tableau, PowerBI, and/or other similar data tools is required.
  • Extensive knowledge and experience in programming and scripting languages such as: Microsoft SQL, Python, and/or other similar languages is required.
  • Ability to design, develop, and manage relational database systems.
  • Knowledge and experience with ERP, SIS, and CRM system programming and reporting preferred.
  • Knowledge of applicable data privacy practices and laws.
  • Strong written, oral, and interpersonal communication skills.
  • Highly self-motivated and directed.
  • Extreme attention to detail is required.
  • Proven analytical and problem-solving abilities.
  • Ability to effectively prioritize and execute tasks in a high-pressure environment.

OFFICE HOURS: Eight (8) hours per day, Monday-Friday, 40 hours per week. Additional hours worked as needed.
Additional Job Description:
Competencies:
None
Special Instructions:
Application Instructions:
Please attach a Resume/CV, a cover letter, 3 references and unofficial transcripts. Official transcripts will be required upon hire.
Please attach all transcripts to your application. A background check is required for hire.
Questions or concerns about your application should be directed to LSUA Human Resources at (318) 473-6401 or hr@lsua.edu.
Skills Needed:
Communication, Customer-Focused, Data Accuracy, Detail-Oriented, IT Quality Assurance, Policy Knowledge, Time Management, Troubleshooting
Preferred Skills:
Posting Date:
July 17, 2026
Closing Date (Open Until Filled if No Date Specified):
Additional Position Information:
Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.
Benefits - LSUA offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!
Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.
Essential Position (Y/N):
LSUA is an Equal Opportunity Employer.
HCM Contact Information:
Questions or concerns can be directed to the LSU Human Resources Management Office at 318-473-6401 or emailed hr@lsua.edu

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