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Data Analytics Intern Jobs in Baton Rouge, LA (NOW HIRING)

Engineering Intern

Baton Rouge, LA

$16 - $21/hr

Data Analytics * Critical Evaluation * Ethical Practice Qualifications and Preferred Experience: * Full-time student pursuing an engineering degree at an accredited college or university * Experience ...

Engineering Intern

Baton Rouge, LA

$16 - $21/hr

Data Analytics * Critical Evaluation * Ethical Practice Qualifications and Preferred Experience: * Full-time student pursuing an engineering degree at an accredited college or university * Experience ...

Engineering Intern

Baton Rouge, LA

$16 - $21/hr

Data Analytics * Critical Evaluation * Ethical Practice Qualifications and Preferred Experience: * Full-time student pursuing an engineering degree at an accredited college or university * Experience ...

Engineering Intern

Baton Rouge, LA · On-site

$16 - $21/hr

Data Analytics * Critical Evaluation * Ethical Practice Qualifications and Preferred Experience: * Full-time student pursuing an engineering degree at an accredited college or university * Experience ...

Engineering Intern

Baton Rouge, LA

$13.25 - $17/hr

Data Analytics * Critical Evaluation * Ethical Practice Qualifications and Preferred Experience: * Full-time student pursuing an engineering degree at an accredited college or university * Experience ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Digital Analyst Internships

Baton Rouge, LA

$94.60K - $111.90K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power ...

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Data Analytics Intern information

See Baton Rouge, LA salary details

$9

$17

$33

How much do data analytics intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for data analytics intern in Baton Rouge, LA is $17.66, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

What is the difference between Data Analytics Intern vs Data Analyst?

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

What are the most commonly searched types of Data Analytics jobs in Baton Rouge, LA? The most popular types of Data Analytics jobs in Baton Rouge, LA are:
What are popular job titles related to Data Analytics Intern jobs in Baton Rouge, LA? For Data Analytics Intern jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Data Analytics Intern jobs in Baton Rouge, LA look for? The top searched job categories for Data Analytics Intern jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Data Analytics Intern jobs? Cities near Baton Rouge, LA with the most Data Analytics Intern job openings:
Infographic showing various Data Analytics Intern job openings in Baton Rouge, LA as of May 2026, with employment types broken down into 72% Full Time, 23% Part Time, and 5% Contract. Highlights an 69% Physical, 8% Hybrid, and 23% Remote job distribution, with an average salary of $36,724 per year, or $17.7 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 7 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.