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Entry Level Data Processing Jobs (NOW HIRING)

The candidate will help collect, process, and analyze data to support business decisions. This role is ideal for entry level candidates who want to start a career in data analytics. Responsibilities ...

Jobs / Entry-Level Data Scientist - AI Chatbot Development Entry-Level Data Scientist - AI Chatbot ... natural language processing (NLP), along with a desire to learn and grow within the rapidly ...

Remote Entry-Level Data Entry Clerk

$17.50 - $23.25/hr

Remote Entry-Level Data Entry Clerk Sacramento, California, United States Or refer someone Job ... Collaborate with other team members to streamline data entry processes and enhance overall ...

AES Contact Center Job Purpose and Summary PHEAA is looking for results-oriented and detailed-focused individuals to join our team as an entry-level Full Time Data Processing Clerk! This role is ...

AES Contact Center Job Purpose and Summary PHEAA is looking for results-oriented and detailed-focused individuals to join our team as an entry-level Full Time Data Processing Clerk! This role is ...

AES Contact Center Job Purpose and Summary PHEAA is looking for results-oriented and detailed-focused individuals to join our team as an entry-level Full Time Data Processing Clerk! This role is ...

Entry-Level Data Entry

Oakdale, PA ยท On-site

$18.51/hr

Entry-Level Data Entry- Now Hiring! Are you tech-savvy, detail-driven, and ready to be the backbone ... If you require a reasonable accommodation during the application or interview process, please ...

Data Engineer

Denver, CO ยท On-site +1

$85K - $125K/yr

Description Position at Ookla The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile ...

Virtual Data Entry Assistant (Part-Time)

$17.25 - $22.75/hr

Remote Entry-Level Data Entry Assistant Are you looking for an exciting opportunity to kickstart ... processes. * Handle data entry tasks in a timely manner, meeting set deadlines consistently.

Remote Data Entry Assistant - Junior

$17.25 - $22.75/hr

Remote Entry Level Data Entry Assistant** Are you a detail-oriented individual with a passion for ... Collaborate with other team members to streamline data entry processes and enhance efficiency.

Data Engineer

Denver, CO ยท On-site

$85K - $125K/yr

We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile and fixed internet performance. As a data ...

Provide entry-level data processing support by entering, updating, and maintaining records with a high level of accuracy. Assist the accounting office with various administrative and clerical tasks ...

Data Engineer

Denver, CO ยท On-site

$85K - $125K/yr

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile and fixed internet ...

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Entry Level Data Processing information

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

As of Sep 15, 2026, the average hourly pay for entry level data processing in the United States is $17.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $18.75 per hour, depending on experience, location, and employer.

What is an entry level data processing job?

Entry level data processing jobs involve handling, organizing, and entering data into computer systems or databases. These roles typically include responsibilities such as verifying data accuracy, updating records, and ensuring information is stored securely. No advanced technical skills are usually required, but attention to detail and basic computer proficiency are important. These positions often serve as a starting point for careers in data management, analysis, or IT.

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

Entry-level data processing professionals often encounter challenges such as managing large volumes of data, maintaining data accuracy, and adapting to various software tools and platforms. It's important to develop strong attention to detail and effective time-management skills to ensure data is processed efficiently and accurately. Seeking guidance from more experienced team members, participating in training sessions, and staying updated on best practices can help new hires overcome these challenges and contribute successfully to the team.

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

To thrive as an Entry Level Data Processing professional, you need strong attention to detail, basic data entry skills, and proficiency with spreadsheets or database software, typically supported by a high school diploma or equivalent. Familiarity with tools like Microsoft Excel, Google Sheets, and data management systems is often required. Organizational skills, reliability, and the ability to work accurately under deadlines are valuable soft skills in this role. These competencies help ensure accurate, efficient management of data and contribute to the overall integrity of business operations.

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

AspectEntry Level Data ProcessingData Entry Clerk
Required SkillsBasic data handling, software familiarityTyping, data input accuracy
CertificationsNone typically requiredNone typically required
Work EnvironmentOffice, remote optionsOffice, data centers
Industry UsageData management, analysis supportData input, record keeping

Entry Level Data Processing involves handling and preparing data for analysis, often requiring familiarity with data software. Data Entry Clerks focus on accurately inputting data into systems. While both roles require attention to detail, data processing may involve more technical skills, whereas data entry emphasizes speed and accuracy.

How hard is it to get an entry level data processing job with no experience?

Entry level data processing jobs typically do not require extensive experience and often accept candidates with basic computer skills and a willingness to learn. Familiarity with data tools like Excel or SQL can improve chances, and some employers may offer on-the-job training or certifications to help new hires get started.
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What states have the most Entry Level Data Processing jobs?

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What other helpful pages are available for Entry Level Data Processing?

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Infographic showing various Entry Level Data Processing job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $36,820 per year, or $17.7 per hour.

Entry-Level Data Analyst

Dallas, TX โ€ข On-site

Dhalite Inc.
11 - 50 employees

Other

Posted 20 days ago


Job description

Job Title: Entry-Level Data Analyst


Summary

We are looking for a motivated Entry-Level Data Analyst to join our analytics team. The candidate will help collect, process, and analyze data to support business decisions. This role is ideal for entry level candidates who want to start a career in data analytics.

Responsibilities

Collect and organize data from different data sources.
Clean and prepare datasets for analysis.
Analyze data to identify trends and insights.
Create dashboards and visual reports using Microsoft Power BI
Write SQL queries to extract data from databases like MySQL
Prepare weekly or monthly performance reports.
Support senior analysts with data analysis projects.


Qualifications

Bachelor s degree in Data Science, Computer Science, Economics,
0 2 years of experience or relevant internships in business intelligence, data analysis, or reporting
Familiarity with at least one data visualization tool
Basic knowledge of statistics
Strong analytical and problem-solving skills
Good communication skills to present data insights clearly
Attention to detail and ability to work with large datasets