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Entry Level Data Processor 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 ...

$60 - $90/hr

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 ...

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 ...

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

Entry-Level Data Entry

Oakdale, PA ยท On-site

$16.42/hr

Entry-Level Admin - Immediate Openings (1st & 2nd Shift) Are you a detail-oriented multitasker with ... Accurately assemble, audit, and process daily paperwork and route documents. * Handle incoming ...

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Entry Level Data Processor information

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

As of Sep 6, 2026, the average hourly pay for entry level data processor 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 does an entry level data processor do?

An Entry Level Data Processor is responsible for entering, updating, and maintaining various types of data in computer systems or databases. Their tasks often include verifying the accuracy of data, sorting and organizing information, and ensuring data integrity. They may also assist with generating reports and supporting other team members with basic data-related tasks. This role typically requires attention to detail, basic computer skills, and the ability to follow instructions. Entry level positions usually provide training on specific company software and data handling procedures.

What skills and qualifications are needed to thrive as an entry level data processor?

To thrive as an Entry Level Data Processor, you need strong attention to detail, basic data entry skills, and familiarity with spreadsheets or database software, typically requiring at least a high school diploma. Proficiency in Microsoft Excel, Google Sheets, and sometimes data management systems like SQL or CRM platforms is commonly expected. Organizational skills, reliability, and the ability to work accurately under deadlines are key soft skills for this role. These competencies ensure data accuracy, efficient workflow, and reliable support for business operations.

What are some common challenges entry level data processors face when starting out?

Entry Level Data Processors often encounter challenges such as learning to manage large volumes of data accurately and efficiently under tight deadlines. Adjusting to various data management software and understanding specific formatting or validation rules can also take some time. Additionally, maintaining attention to detail while performing repetitive tasks is crucial to avoid errors. Most teams provide onboarding and training to help new hires acclimate, and support from supervisors and peers is typically available to address any issues that arise.

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

AspectEntry Level Data ProcessorData Entry Clerk
Required SkillsBasic data processing, attention to detailTyping, data entry, accuracy
CertificationsNone typically required, familiarity with data software helpfulNone typically required
Work EnvironmentOffice, data centers, remote optionsOffice, administrative settings
Industry UsageData management, IT, financeAdministrative, clerical tasks

While both roles involve handling data, Entry Level Data Processors focus on processing and managing data sets, often using specialized software, whereas Data Entry Clerks primarily input data accurately into systems. The roles overlap in skills and work environment but differ in scope and responsibilities.

What cities are hiring for Entry Level Data Processor jobs?

Cities with the most Entry Level Data Processor job openings:

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

The most popular types of Data Processor jobs are:

What states have the most Entry Level Data Processor jobs?

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

Infographic showing various Entry Level Data Processor job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $36,820 per year, or $17.7 per hour.

Entry-Level Data Analyst

Dhalite Inc.

Dallas, TX โ€ข On-site

Other

Posted 11 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