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Entry Level Data Analysis Jobs in Baton Rouge, LA

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Collect, compile, and analyze data from the physical work site, surveys, structural plans ... Provide guidance and training to entry-level inspection staff. * Engage in contact with client and ...

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Entry Level Data Analysis information

See Baton Rouge, LA salary details

$12

$31

$59

How much do entry level data analysis jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for entry level data analysis in Baton Rouge, LA is $31.62, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $35.34 per hour, depending on experience, location, and employer.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Baton Rouge, LA?

The most popular types of Data Analysis jobs in Baton Rouge, LA are:

What are popular job titles related to Entry Level Data Analysis jobs in Baton Rouge, LA?

For Entry Level Data Analysis jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analysis jobs in Baton Rouge, LA look for?

The top searched job categories for Entry Level Data Analysis jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Entry Level Data Analysis jobs?

Cities near Baton Rouge, LA with the most Entry Level Data Analysis job openings:

Infographic showing various Entry Level Data Analysis job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $65,764 per year, or $31.6 per hour.

Intern Data Engineer - Data Services - 2027

IBM

Baton Rouge, LA • On-site

Full-time, Internship

Posted yesterday

New


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

122nd of 244 rated software companies


Job description

Introduction
As an IBM Consulting FutureNow Center Intern, you'll work alongside experienced professionals to help solve real business and technology challenges for clients around the world. You'll gain hands-on experience, build in-demand technical and professional skills, and contribute to meaningful projects while learning in a collaborative, team-based environment.
This internship is designed to provide meaningful, hands-on experience that prepares students for a potential full-time career with IBM Consulting upon graduation.
In this role, you'll work in one of our IBM Consulting FutureNow Centers, where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
Your role and responsibilities
As an Intern Data Engineer at IBM, you'll gain hands-on experience helping organizations transform data into actionable insights, automate business processes, and unlock the power of Artificial Intelligence (AI) through enterprise technology solutions. You'll work alongside experienced IBM professionals while developing practical technical, analytical, and problem-solving skills that prepare you for a future career in data engineering, Artificial Intelligence, and enterprise consulting.
As part of this opportunity, you will be aligned to the following practice:
AI, Analytics, Automation & Data Services - focused on helping organizations modernize data platforms, build scalable data pipelines, enable advanced analytics, automate business processes, and develop AI-driven solutions that improve business performance and decision-making.
Data is the foundation of Artificial Intelligence and digital transformation. During your internship, you'll gain exposure to how organizations use modern data platforms, cloud technologies, automation, analytics, and AI to solve complex business challenges and deliver meaningful business outcomes.
No two projects are exactly alike, you may contribute to projects supporting clients across industries including healthcare, financial services, retail, manufacturing, government, energy, and more.
Throughout your internship, you'll collaborate with experienced data specialist and engineers, AI specialists, business professionals, and technology experts while learning how organizations solve complex business challenges through enterprise data and AI solutions. Through mentorship, structured learning, hands-on project experiences, and AI-enabled tools, you'll strengthen your technical capabilities, analytical thinking, and professional skills while building a strong foundation for a future career at IBM.
During your internship, you may have opportunities to:
  • Support data engineering services and AI initiatives that improve business performance, operational efficiency, and data-driven decision-making.
  • Assistwith designing, building, testing, and maintaining data pipelines, data integration processes, and modern data platforms.
  • Contribute to data preparation, transformation, validation, and quality activities that support analytics, automation, and Artificial Intelligence solutions.
  • Analyze structured and unstructured data toidentifytrends, generate insights, and support business decision-making.
  • Collaborate with cross-functional business and technology teams while gaining exposure to cloud platforms, enterprise data architectures, analytics, and AI technologies.
  • Assistwith testing,validating, and supporting data engineering and analytics solutions while learning how organizations build trusted, scalable data environments.
  • Participate in project meetings, workshops, and professional development opportunities while building communication, teamwork, and consulting skills.

To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly - it's the best way to get a centralized view of which roles you have active applications against.
Required education
High School Diploma/GED
Preferred education
Bachelor's Degree
Required technical and professional expertise
  • Currently pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.
  • Interest in data engineering, Artificial Intelligence, analytics, automation, cloud technologies, or digital transformation concepts.
  • Basic understanding of programming concepts and experience with languages such as Python, SQL, Java, or similar technologies.
  • Basic understanding of databases, data structures, data processing, analytics, and how data supports business decision-making.
  • Exposure to data preparation, transformation, visualization, analytics, or business problem-solving through coursework, academic projects, research, hackathons, student organizations, or personal learning.
  • Awareness of Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies, along with their impact on business and digital transformation.
  • Experience gained through academic projects, internships, research, hackathons, certifications, IBMSkillsBuild, student organizations, volunteer experiences, or other practical learning opportunities.

You don't need to be an expert to get started. We're looking for individuals with a strong foundation, a growth mindset, and a desire to learn and make an impact.
Bring your curiosity. Grow your skills. Build what's next - like an IBMer.
Preferred technical and professional experience
  • Exposure to data engineering, analytics, automation, Artificial Intelligence, cloud technologies, or enterprise data platforms through coursework, student projects, research, hackathons, or internship experiences.
  • Familiarity with databases, SQL, ETL/ELT concepts, data visualization tools, cloud platforms, machine learning workflows, or modern data architectures.
  • Interest in Artificial Intelligence, Generative AI, data-driven decision-making, consulting, and continuous learning.
  • Ability to collaborate effectively with teammates while supporting data modernization, analytics, and enterprise AI transformation initiatives.

ABOUT BUSINESS UNIT
IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.
We consider qualified applicants with criminal histories, consistent with applicable law.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

What IBM employees say

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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