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Data Processing Assistant Jobs in Louisiana (NOW HIRING)

... * Assist experienced team members with designing, building, testing, and maintaining data pipelines, data integration processes, and modern data platforms. * Contribute to data preparation ...

The ideal candidate will assist in developing scalable data solutions, building data pipelines ... Automate repetitive data processing tasks using Python. * Troubleshoot and resolve data pipeline ...

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Accounting Specialist

Youngsville, LA · On-site

$18.50 - $25.25/hr

... data, preparing supporting schedules, and updating account records. * Maintain vendor files, tax documentation, and compliance-related records, including support for annual 1099 processing. * Assist ...

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Data Processing Assistant information

See Louisiana salary details

$10

$17

$29

How much do data processing assistant jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data processing assistant in Louisiana is $17.33, according to ZipRecruiter salary data. Most workers in this role earn between $13.75 and $19.13 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data processing assistant?

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

What are some common challenges faced by data processing assistants, and how can they be addressed?

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

What is the difference between Data Processing Assistant vs Data Entry Clerk?

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What does a data processing assistant do?

A data processing assistant is responsible for collecting, organizing, and verifying data to ensure accuracy and completeness. They often use software tools like spreadsheets or database systems and may perform tasks such as data entry, cleaning, and formatting to support data analysis and reporting.

What are the most commonly searched types of Data Processing jobs in Louisiana?

The most popular types of Data Processing jobs in Louisiana are:

What are popular job titles related to Data Processing Assistant jobs in Louisiana?

For Data Processing Assistant jobs in Louisiana, the most frequently searched job titles are:

What cities in Louisiana are hiring for Data Processing Assistant jobs?

Cities in Louisiana with the most Data Processing Assistant job openings:

Infographic showing various Data Processing Assistant job openings in Louisiana 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 $36,046 per year, or $17.3 per hour.

Intern Data Engineer - Data Services - 2027

IBM

Monroe, LA • On-site

Full-time, Internship

Posted 16 days ago


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

124th of 247 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.
• Assist with 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 to identify trends, 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.
• Assist with 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.
The primary internship program dates are May to July 2027 (10 weeks).
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, IBM SkillsBuild, 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.

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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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