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

Skills and Competencies * Entry level position. Some relevant work experience and/or relevant ... Excellent attention to detail and ability to complete repetitive process with no error * Clear ...

... processes across the firm • Research: Work from a template and utilize existing ES partnerships ... Entry Level Job Type & Location This is a Permanent position based out of New York, NY. Pay and ...

Data Scientist

Manhattan, NY · Hybrid

$88K - $110K/yr

... processes across the firm • Research: Work from a template and utilize existing ES partnerships ... Entry Level Job Type & Location This is a Permanent position based out of New York, NY. Pay and ...

This is an entry level role requiring the individual to have the aptitude to learn and to ... Map process flows from end to end for research purposes * Organize and maintain a Metrics ...

Data Scientist

Manhattan, NY · Hybrid

$88K - $110K/yr

... processes across the firm • Research: Work from a template and utilize existing ES partnerships ... Entry Level Job Type & Location This is a Permanent position based out of New York, NY. Pay and ...

Financial Analyst - Entry Level

Manhattan, NY · Remote

$25.65 - $29.70/hr

We are looking for an entry-level Financial Analyst to support a financial services team on a ... Support project-related tasks tied to business initiatives, including process updates and data ...

Showing results 41-60

Entry Level Data Processing information

See New York salary details

$13

$19

$26

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

As of Sep 8, 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.

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.

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:

Infographic showing various Entry Level Data Processing job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,282 per year, or $19.4 per hour.

Data Operations Specialist II

Manhattan, NY • On-site

$60 - $80/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Let's begin! Data Operations Specialist II (14913)

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies
  • Entry level position. Some relevant work experience and/or relevant internship experience preferred.
  • Excellent attention to detail and ability to complete repetitive process with no error
  • Clear written and verbal communication skills with an ability to communicate complex business concepts to a senior audience.
  • Highly organized and efficient
  • Competency in Microsoft Office (Outlook, Excel, Word and Powerpoint.)
  • A strong client focused orientation with the drive and enthusiasm required to achieve results and assume customer satisfaction.
  • Strong interpersonal skills
  • Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.
Skills and Competencies
  • Entry level position. Some relevant work experience and/or relevant internship experience preferred.
  • Excellent attention to detail and ability to complete repetitive process with no error
  • Clear written and verbal communication skills with an ability to communicate complex business concepts to a senior audience.
  • Highly organized and efficient
  • Competency in Microsoft Office (Outlook, Excel, Word and Powerpoint.)
  • A strong client focused orientation with the drive and enthusiasm required to achieve results and assume customer satisfaction.
  • Strong interpersonal skills
  • Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.
Education
  • Undergraduate/first-level degree (E.g. Bachelor’s degree)
Responsibilities

As a Data Operations Specialist II, you will provide and coordinate a comprehensive business administration service to management and rating analysts within the designated Line of Business (LOB). The successful candidate will be responsible for all administrative work related to a subset of deals which includes:

  • Support new deal set-up, data capture (e.g., amendments), lifecycle data maintenance, data quality assurance and tracking support to the rating analysts within the designated Line of Business (LOB)
  • Performs administrative tasks including but not limited: to data updates, prepares rating action, bulk rating actions, publishing ratings, research and press release templates and disclosures consistent with regulatory requirements, internal policies and guidelines for designated LOB support
  • Monitors designated mailboxes to ensure timely and effective handling of internal and external client requests. Organizes work to meet deadlines and time sensitive requests/projects.
  • Facilitates resolution to technical issues and/or more complex external inquiries with supervision by Senior Financial Data Associate/Specialist/Team Leader
  • Builds positive relationships with clients to ensure customer satisfaction
  • Demonstrates the ability to deal professionally with clients. Delivers high level of service across high volume of transactions.
  • Promptly and efficiently escalates conflicts/problems/database/data inconsistency
  • Able to identify and research issues and/or discrepancies with data and/or requests for follow up with the analyst.
  • Resolves basic client inquiries (both internal and external clients)
  • Demonstrates increasing awareness of procedures, guidelines and regulatory requirements as it pertains to their job function by asking relevant questions.
  • Provide back-up coverage for designated associate in the event of absence and holidays to ensure seamless service to GMO clients
  • Willing to accept new challenges
  • Demonstrates flexibility with last minute changes in commitments and deadlines
  • Contributes positively to the team even under pressure or when performing routine and/or administrative tasks.
  • Places interest of the team above individual self-interest
  • Continue to develop broad based knowledge of financial instruments, terminology, and related business practices
  • This job description is issued as a guideline to assist you in your duties, it is not exhaustive and we would be pleased to discuss any constructive comments you may have. Because of the evolving nature and changing demands of our business this job description may be subject to change. You may, on occasion, be required to undertake additional or other duties within the context of this job description, and according to the needs of the business.

For US-based roles only: the anticipated hiring base salary range for this position is$51,200.00-$74,150.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status,sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com . This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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