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Entry Level Data Processing Jobs in New York (NOW HIRING)

Get quotes for parts/services and process POs and paymentsKeep accurate records of maintenance work ... data; prepare simple reportsSupport time and attendance tracking for maintenance staffMaintain ...

Associate Data Scientist

Manhattan, NY

$64K - $65K/yr

We are seeking an Associate Data Scientist for this entry-level role. You will work to support the ... Experience with integrating AI solutions into existing business processes. Paramount Streaming, a ...

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Entry Level Data Processing information

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$13

$19

$26

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

As of Jul 13, 2026, the average hourly pay for entry level data processing in New York is $19.37, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $20.53 per hour, depending on experience, location, and employer.

How to data entry with no experience?

Entry level data processing jobs often require basic computer skills and attention to detail. To start without experience, consider taking free online courses on data entry tools like Excel or Google Sheets, and practice entering data to build accuracy and speed. Highlight any relevant skills or volunteer work in your resume to improve your chances of getting hired.

How can I make $2000 a week working from home?

Entry level data processing jobs can offer remote work opportunities that, with consistent effort and high productivity, potentially generate around $2000 weekly. Achieving this income typically requires processing large volumes of data, using tools like spreadsheets or data management software, and maintaining a steady schedule. Building skills in data entry, accuracy, and time management can help increase earning potential in this field.

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.

What are entry level data processing jobs?

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.

Are there entry-level jobs at data centers?

Entry-level data processing jobs at data centers often include roles such as data technician or support associate, which typically require basic computer skills and attention to detail. These positions may involve tasks like data entry, system monitoring, and troubleshooting, and often offer on-the-job training for new employees.

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.

How do I get into data processing?

To get into data processing as an entry-level role, develop skills in data management, Excel, and basic programming languages like Python or SQL. Gaining relevant certifications or completing online courses can improve your chances, and internships or entry-level positions provide practical experience in data handling environments.
What are the most commonly searched types of Data Processing jobs in New York? The most popular types of Data Processing jobs in New York are:
What are popular job titles related to Entry Level Data Processing jobs in New York? For Entry Level Data Processing jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Entry Level Data Processing jobs? Cities in New York with the most Entry Level Data Processing job openings:

Entry Level Business Analyst

Data Cloud Merge

Jersey City, NJ • On-site

Full-time

Re-posted 22 days ago


Job description

Company Description
Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.
Job Description
  • Involve in project cycle plan for the data warehouse, source data analysis, data extraction process, transformation, and loading strategy designing.
  • Create Technical Specification Documents and capacity planning reports as part of the project requirement and followed the SDLC using the Waterfall model.
  • Produce appropriate documentation that allowed stakeholders to understand the steps of the data analysis process.
  • Assist Supply chain analysts with automating reporting functionality using Power BI tools, Power BI reporting, Dashboards & Scorecards (KPI).
  • Create action filters, parameters, and calculated sets for preparing dashboards and worksheets in Tableau

Qualifications
  • Bachelors or Masters Degree in Business, Finance, Technology, Computer Science, Engineering or any discipline.
  • Knowledge of Data Mining with large datasets of Structured and Unstructured Data, Data Acquisition, Data Validation, Predictive Modelling, and Data Visualization.
  • Proficiency in all phases of requirements gathering, analysis, designing, testing and documentation, and a good understanding of Agile and Waterfall Methodologies.
  • Ability to work independently and in a team environment, collaborating effectively with business, delivery, and technology partners.

Additional Information
Describe your perks and culture