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Part Time Data Jobs in New York (NOW HIRING)

Fora

Senior Data Analyst, Marketing

New York, NY · On-site

$120K - $160K/yr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... About the Role Fora is looking for a Senior Data Analyst, Marketing to join our growing Data team ...

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All JobsData JobsPart Time Data JobsPart Time Data Jobs in New York

Part Time Data information

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$9

$21

$55

How much do part time data jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for part time data in New York is $21.42, according to ZipRecruiter salary data. Most workers in this role earn between $14.19 and $20.76 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a part time data entry clerk, and why are they important?

To thrive as a Part Time Data Entry Clerk, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, data management systems, and sometimes basic database tools is typically required. Reliability, time management, and the ability to work independently are important soft skills for this role. These skills ensure that data is entered accurately and efficiently, supporting overall business operations and data integrity.

What are part time data jobs?

Part-time data jobs are positions where employees work fewer hours than a standard full-time schedule, typically focusing on tasks related to data collection, entry, analysis, or management. These roles may include data entry clerks, data analysts, or research assistants, and are often found in industries like healthcare, finance, marketing, or education. Part-time data jobs are ideal for students, individuals seeking flexible work arrangements, or those looking to gain experience in the data field without committing to a full-time role.

What are some common challenges faced by part time data professionals, and how can they be addressed?

Part-time data professionals often encounter challenges such as managing workload within limited hours, staying updated with evolving data tools, and integrating effectively with full-time team members. To address these, clear communication about project expectations and deadlines is essential. Utilizing collaborative tools and participating in regular team meetings can help part-time staff stay aligned and contribute effectively, while ongoing learning helps bridge any skills gaps. Many organizations also encourage part-time employees to attend training sessions or workshops to stay current.

What is the difference between Part Time Data vs Part Time Data Analyst?

AspectPart Time DataPart Time Data Analyst
Required CredentialsBasic understanding of data concepts, possibly some courseworkRelevant degree or certification in data analysis, statistics, or related field
Work EnvironmentFlexible, often remote or freelance projectsOffice or remote, focused on analyzing data sets
Employer & Industry UsageVarious industries, including tech, marketing, researchBusinesses seeking data insights, analytics firms, research organizations

Part Time Data generally refers to flexible, entry-level data-related tasks, while Part Time Data Analyst involves more specialized analysis work requiring relevant skills and certifications. The analyst role typically demands a deeper understanding of data tools and methodologies, making it more focused on interpreting data to inform decisions.

What are the most commonly searched types of Data jobs in New York? The most popular types of Data jobs in New York are:
What are popular job titles related to Part Time Data jobs in New York? For Part Time Data jobs in New York, the most frequently searched job titles are:
What job categories do people searching Part Time Data jobs in New York look for? The top searched job categories for Part Time Data jobs in New York are:
What cities in New York are hiring for Part Time Data jobs? Cities in New York with the most Part Time Data job openings:
Part Time Data jobs near you
Infographic showing various Part Time Data job openings in New York as of August 2026, with employment types broken down into 100% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $44,546 per year, or $21.4 per hour.

Virtual AI Data Entry Specialist - Flexible Hours

INNODATA INC

Ridgefield Park, NJ • Remote

$18.25 - $24.50/hr

Full-time, Part-time

Posted 7 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

161st of 242 rated software companies

Job description

Are you a detail-oriented and organized individual with a passion for data entry? Do you thrive in a remote work environment and enjoy working independently? Look no further than INNODATA INC, a dynamic and innovative company that's revolutionizing the way we work. We're seeking a highly motivated and skilled Data Entry Specialist to join our remote team, and we're excited to offer full-time and part-time opportunities for the right candidate. Responsibilities: As a Data Entry Specialist at INNODATA INC, you'll play a critical role in ensuring the accuracy and integrity of our data. Input, update, and maintain accurate data into internal systems and databases: You'll be responsible for accurately entering, updating, and maintaining data across various platforms and systems. This will involve working with multiple databases, spreadsheets, and other data management tools Review data for errors, inconsistencies, and incomplete information: Your attention to detail will be crucial in identifying and correcting errors, inconsistencies, and incomplete information in our data. Perform routine data audits and quality checks: You'll be responsible for conducting regular data audits and quality checks to ensure the accuracy and integrity of our data. Maintain confidentiality and security of all company and client data: You'll be entrusted with sensitive information, and it's essential that you maintain confidentiality and security at all times. Respond to emails and queries related to data tasks: You'll be the primary point of contact for data-related queries and will respond promptly and professionally to emails and other communications. Follow company procedures and protocols for data handling and processing: You'll be expected to follow established procedures and protocols for data handling and processing, including data entry, data validation, and data backup. Collaborate with other team members to ensure project goals are met: You'll work closely with other team members to ensure that project goals are met and that data is accurately and efficiently processed. Qualifications: Proven experience in data entry, administrative support, or related field: You'll need to have a proven track record of experience in data entry, administrative support, or a related field. Proficiency with MS Office (Excel, Word) and Google Workspace: You'll need to be proficient in MS Office, particularly Excel and Word, as well as Google Workspace. Typing speed of at least 40 WPM with a high level of accuracy: Your typing speed and accuracy will be crucial in this role, and we require a minimum of 40 WPM with a high level of accuracy. Strong attention to detail and organizational skills: You'll need to be highly organized and detail-oriented, with a strong ability to prioritize tasks and manage your time effectively. Ability to work independently and manage time effectively: As a remote worker, you'll need to be self-motivated and able to manage your time effectively, with minimal supervision. Reliable internet connection and home office setup: You'll need a reliable internet connection and a suitable home office setup to perform your duties. Excellent written and verbal communication skills: You'll need to be an effective communicator, with excellent written and verbal skills. Data entry and management: You'll need to be proficient in data entry and management, with a strong understanding of data validation, data backup, and data recovery. Attention to detail: Your attention to detail will be crucial in identifying and correcting errors, inconsistencies, and incomplete information in our data. Organizational skills: You'll need to be highly organized, with a strong ability to prioritize tasks.

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