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Entry Level Data Specialist Jobs (NOW HIRING)

The Assessment Data Entry Specialist position supports accurate, well-documented property records ... This entry-level, onsite role (179 N Main St, Logan, UT) is full-time, Monday-Friday 8:00 a.m.-5:00 ...

Data Entry/ Research Specialist

Wayne, PA

$15.50 - $20.50/hr

Currently seeking a Data Entry/Research Specialist for our Data Control Department located in our ... This is an entry level position and isresponsible for onboarding new customers through internal ...

Data Entry/ Research Specialist

Wayne, PA

$15.50 - $20.50/hr

Currently seeking a Data Entry/Research Specialist for our Data Control Department located in our ... This is an entry level position and isresponsible for onboarding new customers through internal ...

Data Entry/ Research Specialist

Wayne, PA · On-site

$15.50 - $20.50/hr

Currently seeking a Data Entry/Research Specialist for our Data Control Department located in our ... This is an entry level position and is responsible for onboarding new customers through internal ...

Data Entry Specialist

Atlanta, GA · On-site

$18 - $20/hr

Data Entry Specialist LaSalle Network is hiring for a Data Entry Specialist with a manufacturing ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

Data Entry Specialist

Atlanta, GA · On-site

$17 - $20/hr

Data Entry Specialist LaSalle Network is hiring for a Data Entry Specialist with a manufacturing ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

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Entry Level Data Specialist information

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

As of Aug 16, 2026, the average hourly pay for entry level data specialist in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

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

AspectEntry Level Data SpecialistData Analyst
Required CredentialsAssociate's degree in data-related field or equivalentBachelor's degree in data science, statistics, or related field
Work EnvironmentData entry, data cleaning, basic analysis in office or remote settingsData interpretation, reporting, and visualization in various industries
Employer & Industry UsageBusinesses needing data organization and entryOrganizations analyzing data to inform decisions

Entry Level Data Specialists focus on data entry, cleaning, and basic management tasks, often requiring less advanced analytical skills. Data Analysts perform more in-depth analysis, reporting, and visualization, typically requiring a higher level of education. Both roles are essential in data-driven environments but differ in complexity and responsibilities.

What are some common challenges faced by entry level data specialists, and how can they be overcome?

Entry Level Data Specialists often encounter challenges such as managing large volumes of data, ensuring data accuracy, and learning to use new data management tools. To overcome these, it's helpful to develop strong attention to detail, proactively seek feedback from more experienced team members, and take advantage of training resources provided by the company. Collaborating closely with analysts and IT staff can also help you quickly resolve issues and gain practical insights. As you gain experience, these challenges become valuable learning opportunities that build a solid foundation for future advancement.

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

To thrive as an Entry Level Data Specialist, you need strong analytical skills, attention to detail, and a basic understanding of data management principles, often supported by a degree in information systems, statistics, or a related field. Familiarity with spreadsheet software (like Microsoft Excel), basic database systems (such as SQL), and data visualization tools is typically required. Excellent organizational skills, problem-solving abilities, and clear communication help you excel in handling data accuracy and collaborating with team members. These skills ensure precise data handling and effective information flow, which are critical for supporting business decisions and maintaining data integrity.

What does an entry level data specialist do?

An Entry Level Data Specialist is responsible for collecting, organizing, and maintaining data for a company or organization. Their tasks often include data entry, cleaning and validating data, generating basic reports, and supporting data analysis efforts. They work closely with other team members to ensure that data is accurate, up-to-date, and properly stored. This role is ideal for individuals who are detail-oriented and have strong organizational skills. Entry level data specialists may also learn foundational skills in data management and analytics, providing a pathway to more advanced positions in the field.
More about Entry Level Data Specialist jobs

What cities are hiring for Entry Level Data Specialist jobs?

Cities with the most Entry Level Data Specialist job openings:

What are the most commonly searched types of Data Specialist jobs?

The most popular types of Data Specialist jobs are:

What states have the most Entry Level Data Specialist jobs?

States with the most job openings for Entry Level Data Specialist jobs include:

Infographic showing various Entry Level Data Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

Intern Data Engineer - Data Services - 2027

IBM

Monroe, 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.
• 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.
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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