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Python Data Analyst Jobs in Louisiana (NOW HIRING)

Deloitte

AI and Data Science Engineer III

New Orleans, LA · On-site

$110K - $132K/yr

Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables. * Proficiency in Python or R for statistical modeling and data ...

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 ...

PVI Holdings

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

... business analytics, reporting, and data integration. The ideal candidate will have strong ... Python * DAX * Microsoft Dynamics D365 (preferred) * Azure DevOps (or similar CI/CD tools) * Git ...

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 ...

3MK Software Solutions

Data Engineer

New Orleans, LA

$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

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

$73K - $96K/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 ...

CSAA

Senior Commercial Insurance Analyst - Remote

Iowa, LA · Remote

$78K - $103K/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 ...

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 ...

Globalstar

Mission Analyst

Covington, LA · On-site

$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 ...

Globalstar

Senior Mission Analyst

Covington, LA · On-site

$110K - $130K/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 ...

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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 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.
More about Python Data Analyst jobs
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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
GFS Reporting and Analytics Manager

GFS Reporting and Analytics Manager

Deloitte

New Orleans, LA

Other

Posted 25 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Deloitte Global connects professionals across businesses and borders to advance enterprise priorities. As a Manager, Reporting & Analytics, you will lead reporting solutions that improve decision-making, automation, and operational insight across Global Finance Services.
Recruiting for this role ends on 06/20/2026.

Work you'll do

As a Manager, Reporting & Analytics on the Reporting & Analytics Shared Operations team, you will:

  • Lead reporting and analytics projects that enhance platform capabilities and automation
  • Manage analysts and senior analysts while overseeing deliverables, scope, and quality
  • Gather requirements and advise stakeholders on solution options, risks, and tradeoffs
  • Build reporting solutions using Tableau, Power BI, SQL, Azure technologies, Python, and R
  • Identify process improvements and technology opportunities that support business needs

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Global Finance Services delivers technology-enabled finance solutions that promote consistency, compliance, and efficiency across Deloitte's global network. In this role, you can help improve how finance data is reported, automated, and used to support enterprise decisions. This team description is adapted from your source posting's Global Finance Services language .

Qualifications

Required:

  • Bachelor's degree or equivalent data analytics and visualization work experience
  • 5+ years of experience in reporting, analytics, or data visualization
  • Experience with Microsoft Office, SQL, Tableau, and/or Power BI
  • Experience with financial metrics, including profit and loss reporting
  • Experience with Azure technologies, Python, R, or Scala
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience leading reporting or analytics projects
  • Experience managing analysts or senior analysts
  • Experience supporting stakeholders in a cross-functional environment
Qualifications:

Deloitte Global connects professionals across businesses and borders to advance enterprise priorities. As a Manager, Reporting & Analytics, you will lead reporting solutions that improve decision-making, automation, and operational insight across Global Finance Services.
Recruiting for this role ends on 06/20/2026.

Work you'll do

As a Manager, Reporting & Analytics on the Reporting & Analytics Shared Operations team, you will:

  • Lead reporting and analytics projects that enhance platform capabilities and automation
  • Manage analysts and senior analysts while overseeing deliverables, scope, and quality
  • Gather requirements and advise stakeholders on solution options, risks, and tradeoffs
  • Build reporting solutions using Tableau, Power BI, SQL, Azure technologies, Python, and R
  • Identify process improvements and technology opportunities that support business needs

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Global Finance Services delivers technology-enabled finance solutions that promote consistency, compliance, and efficiency across Deloitte's global network. In this role, you can help improve how finance data is reported, automated, and used to support enterprise decisions. This team description is adapted from your source posting's Global Finance Services language .

Qualifications

Required:

  • Bachelor's degree or equivalent data analytics and visualization work experience
  • 5+ years of experience in reporting, analytics, or data visualization
  • Experience with Microsoft Office, SQL, Tableau, and/or Power BI
  • Experience with financial metrics, including profit and loss reporting
  • Experience with Azure technologies, Python, R, or Scala
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience leading reporting or analytics projects
  • Experience managing analysts or senior analysts
  • Experience supporting stakeholders in a cross-functional environment
Education:Bachelor's DegreeEmployment Type:

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Hours and flexibility

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