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Python Data Analysis Jobs in Baton Rouge, LA (NOW HIRING)

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 ...

Danaher

Digital Analyst Internships

Baton Rouge, LA

$94.60K - $111.90K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Capital City Press

Data Reporter

Baton Rouge, LA · On-site

We are looking for someone with: -Prior professional journalism experience -The ability to use tools such as Python, SQL or R to scrape, clean and analyze data -Familiarity with using GIS and mapping ...

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All JobsPython Data Analysis JobsPython Data Analysis Jobs in Baton Rouge, LA

Python Data Analysis information

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$12

$56

$82

How much do python data analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for python data analysis in Baton Rouge, LA is $56.29, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $63.94 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
More about Python Data Analysis jobs
What are popular job titles related to Python Data Analysis jobs in Baton Rouge, LA? For Python Data Analysis jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Baton Rouge, LA look for? The top searched job categories for Python Data Analysis jobs in Baton Rouge, LA are:
Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Baton Rouge, LA as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $117,084 per year, or $56.3 per hour.
CW Healthcare Data Science Intern

CW Healthcare Data Science Intern

Blue Cross and Blue Shield of Louisiana

Baton Rouge, LA • On-site

Part-time

Posted 8 days ago

Blue Cross Blue Shield of Louisiana rating

8.6

Company rating: 8.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

73rd of 259 rated insurance

Job description

We take great strides to ensure our employees have the resources to live well, be healthy, continue learning, develop skills, grow professionally and serve our local communities. We invite you to apply for a career with Blue Cross.
Residency in or relocation to Louisiana is preferred for all positions.
What This Team Does
The Healthcare Analytics & Data Science team develops data-driven solutions that strengthen how healthcare is delivered, valued, and understood. Using machine learning, statistical modeling, and generative AI, the team analyzes data, finds key correlations, and recommends strategies to improve patient outcomes, provider performance, risk-adjusted revenue, and organizational initiatives that support cost-effective care.
This team partners closely with business units and IT to deliver predictive models, prescriptive insights, and innovative AI based tools that improve decision-making and operational efficiency across the enterprise.
As a Healthcare Data Science Intern, you'll support data exploration, model development, analytic problem-solving, and the creation of AI/ML solutions that advance organizational performance and member outcomes.
What You'll Be Doing
  • Assist in developing statistical, predictive, and machine learning models related to patient utilization, outcomes, and provider performance.
  • Contribute to generative AI initiatives that enhance internal processes, automate insights, or improve user engagement.
  • Work with large datasets to perform data wrangling, feature engineering, and exploratory data analysis.
  • Partner with business stakeholders to translate analytical findings into actionable insights.
  • Collaborate with IT teams to support model deployment efforts and analytic tool development.
  • Document modeling methods, results, and assumptions in a clear and professional manner.
  • Contribute to projects focused on medical cost optimization, risk adjustment, and engagement analytics.

Who We're Looking For
Education
Currently pursuing one of the following:
  • Data Science, Computer Science, Statistics, Mathematics, Economics, Analytics, or other quantitative/health care related field.
  • Senior undergraduate, recent graduate, or graduate student
  • Coursework in machine learning, statistics, data analysis, or programming is preferred

GPA
  • Preferred: 3.5+
  • Minimum: 3.0 cumulative GPA

Skills & Experience
Minimum Qualifications
  • Working knowledge of Python for data analysis (e.g., pandas, NumPy) and comfort working in notebook-based environments (such as Databricks or Jupyter notebooks).
  • Foundational SQL skills for querying, joining, and transforming data.
  • Understanding of core statistics and data science concepts (e.g., descriptive statistics, regression or classification, model evaluation fundamentals).
  • Introductory experience with machine learning concepts and Python-based ML libraries (e.g., scikit-learn), through coursework, projects, or internships.
  • Experience using Microsoft Excel and PowerPoint to analyze data and communicate results.
  • Strong analytical thinking skills with the ability to interpret data, solve problems, and clearly summarize findings for non-technical audiences.
  • Effective written and verbal communication skills and ability to work collaboratively on a team.

Preferred Qualifications
  • Exposure to Databricks platform and scalable data processing concepts (e.g., PySpark, Delta tables).
  • Familiarity with BI and data visualization tools, especially Power BI or Tableau, including dashboard design best practices.
  • Additional experience with advanced ML or AI frameworks (e.g., PyTorch, TensorFlow) or LLM/GenAI tooling (e.g., LangChain, OpenAI APIs) through projects or experimentation.
  • Awareness of modern data platforms or lakehouse architectures (e.g., curated vs. raw data, reproducible analytics).
  • Interest in learning how analytics connects to internal tools or lightweight applications, with optional exposure to APIs, VS Code, or basic front-end concepts over time.

What Will Help You Succeed
  • Curiosity and a proactive approach to learning new tools and technologies
  • Strong attention to detail and organization
  • Comfort working with large datasets and complex technical concepts
  • Ability to collaborate with cross functional teams, including business and IT functional teams
  • Interest in healthcare analytics, machine learning, and AI driven problem-solving

Location Requirement
Remote - must be in an approved work from home state (see career site)
Time Commitment
20 hours per week
#LI-DNI
An Equal Opportunity Employer
All BCBSLA EMPLOYEES please apply through Workday Careers.
PLEASE USE A WEB BROWSER OTHER THAN INTERNET EXPLORER IF YOU ENCOUNTER ISSUES (CHROME, FIREFOX, SAFARI)
Additional Information
Please be sure to monitor your email frequently for communications you may receive during the recruiting process. Due to the high volume of applications we receive, only those most qualified will be contacted. To monitor the status of your application, please visit the "My Applications" section in the Candidate Home section of your Workday account.
If you are an individual with a disability and require a reasonable accommodation to complete an application, please contact recruiting@bcbsla.com for assistance.
In support of our mission to improve the health and lives of Louisianians, Blue Cross encourages the good health of its employees and visitors. We want to ensure that our employees have a work environment that will optimize personal health and well-being. Due to the acknowledged hazards from exposure to environmental tobacco smoke, and in order to promote good health, our company properties are smoke and tobacco free.
Blue Cross and Blue Shield of Louisiana performs background and pre-employment drug screening after an offer has been extended and prior to hire for all positions. As part of this process records may be verified and information checked with agencies including but not limited to the Social Security Administration, criminal courts, federal, state, and county repositories of criminal records, Department of Motor Vehicles and credit bureaus. Pursuant with sec 1033 of the Violent Crime Control and Law Enforcement Act of 1994, individuals who have been convicted of a felony crime involving dishonesty or breach of trust are prohibited from working in the insurance industry unless they obtain written consent from their state insurance commissioner.
Additionally, Blue Cross and Blue Shield of Louisiana is a Drug Free Workplace. A pre-employment drug screen will be required and any offer is contingent upon satisfactory drug testing results.

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