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Part Time Data Processing Jobs in New York (NOW HIRING)

City of New York

College Aide

Manhattan, NY

... fields for positions as part-time College Aides. Under the supervision of the Assistant ... data processing, or closely related field, including or supplemented by 9 semester credits in an ...

City of New York

College Aide

Manhattan, NY · On-site

$10 - $20/hr

... fields for positions as part-time College Aides. Under the supervision of the Assistant ... data processing, or closely related field, including or supplemented by 9 semester credits in an ...

City of New York

College Aide

Manhattan, NY · On-site

... fields for positions as part-time College Aides. Under the supervision of the Assistant ... data processing, or closely related field, including or supplemented by 9 semester credits in an ...

City of New York

Accounts Payable Aide

Manhattan, NY

$23.25 - $29.75/hr

... processing, data entry, record review, and administrative support. The College Aide will help ... This is an in-person P/T position for college students, Fall 2026 semester. If selected, the ...

City of New York

Accounts Payable Aide

Manhattan, NY

$23.25 - $29.75/hr

... processing, data entry, record review, and administrative support. The College Aide will help ... This is an in-person P/T position for college students, Fall 2026 semester. If selected, the ...

City of New York

Accounts Payable Aide

Manhattan, NY · On-site

$20 - $30/hr

... processing, data entry, record review, and administrative support. The College Aide will help ... This is an in-person P/T position for college students, Fall 2026 semester. If selected, the ...

Rutgers University

Data Collector

New Brunswick, NJ · On-site

$38/hr

Employee discount programs Position Status Part Time Working Hours 19 Daily Work Shift Day Work ... Working knowledge and the ability to use basic spreadsheet, word-processing, and database and ...

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

Part Time Data Processing information

See New York salary details

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$33

How much do part time data processing jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for part time data processing in New York is $21.67, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.09 per hour, depending on experience, location, and employer.

What is the difference between Part Time Data Processing vs Part Time Data Entry?

AspectPart Time Data ProcessingPart Time Data Entry
CredentialsBasic computer skills, familiarity with data processing softwareBasic computer skills, proficiency in typing and data entry tools
Work EnvironmentRemote or office-based, handling data files and softwareRemote or office-based, entering data into spreadsheets or databases
Industry UsageBusiness, finance, healthcare, and tech sectorsAdministrative, retail, healthcare, and customer service sectors

Part Time Data Processing involves managing and analyzing data using specialized software, often requiring some familiarity with data management tools. Part Time Data Entry focuses on inputting data into systems, emphasizing typing speed and accuracy. While both roles are often remote and require basic computer skills, data processing may involve more technical tasks, whereas data entry is more straightforward and clerical. Understanding these differences helps job seekers find roles that match their skills and career goals.

What are part time data processing jobs?

Part time data processing jobs involve handling, organizing, and managing data on a flexible or reduced-hour schedule. These roles typically require entering, updating, and verifying data in computer systems or databases. Common tasks may include data entry, cleaning up existing information, or generating reports. Part time positions are ideal for students, parents, or anyone seeking work-life balance, and can be found in various industries such as healthcare, finance, and retail.

What are the key skills and qualifications needed to thrive as a Part Time Data Processing professional, and why are they important?

To thrive in Part Time Data Processing, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database systems, and sometimes data entry platforms is typically required. Time management, reliability, and effective communication are important soft skills that help ensure consistent and error-free work. These skills are crucial for maintaining data integrity and supporting organizational efficiency in data-driven environments.

What are some common challenges faced in a part-time data processing role, and how can they be managed?

Part-time data processing professionals often encounter challenges like tight deadlines, handling large data volumes, and ensuring accuracy despite working fewer hours. Staying organized and maintaining clear communication with supervisors can help manage shifting priorities and workloads. Additionally, utilizing automation tools and regularly verifying data accuracy can streamline tasks and reduce errors, making it easier to balance responsibilities within a part-time schedule.
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 Part Time Data Processing jobs in New York? For Part Time Data Processing jobs in New York, the most frequently searched job titles are:
What job categories do people searching Part Time Data Processing jobs in New York look for? The top searched job categories for Part Time Data Processing jobs in New York are:
Part Time Data Processing jobs near you
Senior Data Scientist

Senior Data Scientist

Metropolitan Transportation Authority

New York, NY • On-site

$120K - $134K/yr

Full-time, Part-time

Posted 17 days ago

Metropolitan Transportation Authority rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

38th of 76 rated public transport

Job description

Job ID: 15968
Business Unit: MTA Headquarters
Location: New York, NY, United States
Regular/Temporary: Regular
Department: MTA Data and Analytics
Date Posted: May 28, 2026
Description
JOB TITLE:
Senior Data Scientist
DEPT/DIV:
Strategic Initiatives / Data & Analytics
SUPERVISOR:
Director Data Science
WORK LOCATION:
2 Broadway, New York, NY 10004
HOURS OF WORK:
9:00 am - 5:30 pm (7.5 hours/day) or as required
FULL/PART-TIME
FULL
SALARY RANGE:
$120,000 - $134,110
DEADLINE:
Until filled
This position is eligible for telework, which is currently one day per week. New hires are eligible to apply 30 days after their effective date of hire.
Opening:
The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation's largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities.
Job Summary :
The incumbent in this position will help lead Data & Analytics design and implementation, data and programming strategies that are applicable to a wide range of datasets and different types of analytical problems. They will use languages such as SQL, Python, and R and relational database tools such as Oracle, Postgres, and SQL Server to analyze large datasets, build new ones, and design overall data architectures. The incumbent must have expertise, or the ability to quickly understand and build expertise, in different areas of the MTA to support assumptions and business reviews. The incumbent will need to carefully document their work and be able to explain it clearly in response to questions from all levels of the company. They will design all projects and work outputs to support strategic goals to build data systems and processes that are well-structured and sustainable. Due to the size and complexity of the projects they will be working on, the incumbent will also be required to collaborate closely with operators, data/ process owners, IT, and their own colleagues in Data & Analytics to achieve successful outcomes.
Responsibilities:
  • Designing data structures and designing and writing code to collect, combine, and transform datasets to meet business needs.
  • Designing and carrying out quality controls on output data for validity, accuracy, and usability by the desired audience.
  • Working with business partners to understand reporting needs, design appropriate procedures and outputs to achieve them, and carry out other associated work.
  • Breaking down large requests/ problems from senior managers into discrete and solvable programming tasks.
  • Documenting work in a thorough manner consistent with team standards so that it can be easily understood by teammates.
  • Creating documents explaining the work done - both the outputs/ insights and the pipeline - for technical and non-technical audiences.
  • Performing statistical analyses on a wide range of datasets.
  • Keeping skills current by learning new algorithms, programming languages, and techniques.
  • Providing support and instruction (in both business knowledge and coding practices) to less-experienced members of the team.
  • Other duties as assigned.

Required Knowledge/Skills/Abilities:
  • Strong skills in programming for data analytics, most preferably in Python, but other languages such as R and Java are valuable.
  • Strong skills in database design and management
  • Understanding of analytical methods (e.g., probability and statistics, algorithm design).
  • Familiarity with transit/ transportation systems, particularly the MTA subway, bus, and railroad networks.
  • Exceptional ability to read code and interpret data.
  • Familiarity with data processing and management support tools, including MS Office, advanced Excel analysis, and business intelligence tools (e.g., Power BI, Tableau).
  • Familiarity with transportation planning theory and practice, especially in large-scale transit systems.
  • Ability to collaborate and provide support to all levels of MTA, both technical and non-technical.
  • Ability to project manage and help lead team-based projects.
  • Proficiency in data management.
  • Experience in documenting processes, as well as performing quality checks.
  • Ability to keep up with technical innovation and trends in data science.
  • Familiarity with KPI metrics and the ability to create algorithms to calculate them.
  • Ability to deconstruct difficult problems into smaller and simpler pieces.
  • Ability to think at a policy and strategic level
  • Strong written communication skills.

Required Education and Experience:
  • Bachelor's degree in Computer Science , Engineering, Information Management, Statistics, Mathematics, or Transportation Planning. An equivalent combination of education and experience may be considered in lieu of a degree.
  • A minimum of (3) years of experience in data science or data engineering, or another position with similar programming and data management content. A Master's degree may substitute for one year of experience.
  • A minimum of (3) years of experience building datasets, automating tasks through scripts, writing database queries, and debugging/ maintaining code.
  • A minimum of (4) years of experience with Python and SQL programming.
  • Minimum of (3) years of experience with relational databases (e.g., Oracle, Postgres, SQL Server), including writing queries (generally with PL/SQL) to obtain and manipulate data.

The Following is/are preferred:
  • Bachelor's degree in Computer Science , Engineering, Information Management, Statistics, Mathematics, or Transportation Planning/ Civil Engineering.
  • Ability to write, edit, and understand Python code, SQL, or R Programming.
  • Familiarity with data exploration/data visualization tools like Tableau, Power BI, Web Focus, etc.

Other Information
May need to work outside of normal work hours (i.e., evenings and weekends)
Travel may be required to other MTA locations or other external sites.
According to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the "Commission").
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including those concerning veteran status and individuals with disabilities.
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

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