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Python Data Analyst Jobs in Louisiana (NOW HIRING)

Textron

Integration Test Engineer II

New Orleans, LA · On-site

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 ...

Textron

Integration Test Engineer II

New Orleans, LA

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 ...

THE PRUITT GROUP LLC

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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 ...

THE PRUITT GROUP LLC

Be Seen First

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 ...

AEG

Consumer Insights Analyst

Metairie, LA · On-site

Analyze local and regional market data from Bloomberg, Moody's Analytics, Census, Bureau of Labor ... Advanced PowerBI, SQL and Python experience is a plus * Statistical Analysis and Modeling ...

Varsity Tutors

Data Science Tutor

Baton Rouge, LA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

New Orleans, LA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Eliassen Group

Data Engineer

Westlake, LA · On-site +1

$75 - $80/hr

Experience Requirements: 5+ years of experience in data engineering and analytics. Strong expertise in SQL for Snowflake and SQL Server. Python for data manipulation and automation. Hands-on ...

Globalstar

Mission Analyst

Covington, LA

$90K - $110K/hr

Generate daily orbit data for satellite contacts, perform maneuver planning (orbit raising, station ... Support and develop scripts (Python, MATLAB, ) to automate orbital analysis tasks. What you will ...

3MK Software Solutions

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Leads analysis, model and design the application data structure, storage, integration, deployment ... A minimum of 2 years of experience using Scripting (Python, Perl, Shell, etc) is required A minimum ...

Entergy

Energy Market Analyst

New Orleans, LA · On-site

Utilize Python or SQL to identify outliers, handle missing values, and normalize data. * Load & Demand Analysis: Analyze historical load profiles to identify patterns, peaks, and anomalies. Translate ...

CSAA

Senior Commercial Insurance Analyst - Remote

Iowa, LA · Remote

$78K - $103.30K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Working knowledge of R or Python. * Experience with automating repetitive tasks. * Adaptability and ...

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Python Data Analyst information

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$29.1K

$70.7K

$116.3K

How much do python data analyst jobs pay per year?

As of May 30, 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?

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.

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.

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.

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 May 2026, with employment types broken down into 4% As Needed, 66% Full Time, 19% Part Time, 4% Temporary, 5% Contract, and 2% Nights. Highlights an 58% Physical, 24% Hybrid, and 18% Remote job distribution, with an average salary of $70,668 per year, or $34 per hour.

Data Sciences Director

Virginia Farm Bureau Mutual

Baton Rouge, LA

Full-time

Posted 9 days ago

Job description

Essential Functions & Qualifications

Identify actionable business insights hidden within existing reports and datasets. Communicate these insights to Executive Leadership Team to support strategic and operational decisions.

Formulate and investigate new business questions in response to evolving challenges and opportunities. Interrogate data to uncover trends, correlations, and anomalies not previously considered, e.g. surfacing insights that can influence decisions around pricing, risk selection, target marketing, distribution strategy, claims handling, and customer experience.

Work cross-functionally with actuarial teams and management reporting experts to amplify analytical capabilities. Lead collaborative efforts to build unified data narratives that drive clarity and foresight.

Develop new, innovative reporting models that go beyond standard KPIs. Propose fresh reporting structures that illuminate emerging performance drivers or risk indicators.

Translate ambiguous business challenges into structured analyses using internal datasets. Recommend solutions or mitigation strategies based on rigorous data interpretation.

Present findings, insights, and recommendations in a clear, compelling way tailored to executive audiences. Support strategic planning sessions and performance reviews with data-backed perspectives.

5-8 plus years of progressive experience in data science, advanced analytics, or business intelligence required.

Strong working knowledge of P&C insurance operations, underwriting, claims, and financial performance metrics required.Familiarity with actuarial and management reporting processes, able to collaborate fluently across both required.

Proven experience delivering insights that influence business decisions at the executive level required.

Expert-level proficiency in SQL, Python, R, or other data interrogation tools required.

Strong data visualization skills using Tableau, Power BI, or equivalent platforms required.

Exceptional communication and storytelling skills, able to bridge the gap between data complexity and business clarity required.

Familiarity with agentic and generative AI tools to enhance data interrogation, automate insight generation, or prototype analytical frameworks required.

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