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Part Time Data Jobs in Middletown, NJ (NOW HIRING)

In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data. Responsibilities: The Data Analyst (Remote) will:

Data Analyst - part time Netx is a great place to work - we think you're going to love it here. We pride ourselves on having a great team and fun work environment while doing great work for our ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Data Collector

New Brunswick, NJ ยท On-site

$38/hr

Employee discount programs Position Status Part Time Working Hours 19 Daily Work Shift Day Work ... Ability to record and maintain data in computerized and non-computerized formats. * Working ...

Data Entry Clerk

Brooklyn, NY ยท On-site

$23 - $25/hr

JCCGCI's Older Adult Transportation Program is looking for a Data Entry Clerk to accurately review ... This position is fully on-site, and can be Full-Time or Part-Time Pay: $23.00 - $25.00 hourly ...

This is a part-time, hourly position working approximately 16-24 hours per week, based primarily in ... This is a data collection and operational support role and does not include responsibility for ...

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Part Time Data information

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 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 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.

Are part-time data entry jobs real?

Part-time data entry jobs are legitimate positions that involve inputting information into computer systems, often requiring basic computer skills and attention to detail. These jobs are commonly found through reputable job boards and may be remote or in-office, with flexible schedules for qualified applicants.

Is it possible to work part-time as a data scientist?

Yes, it is possible to work part-time as a data scientist. Many companies offer part-time or flexible roles that involve tasks such as data analysis, modeling, and reporting, often requiring skills in programming languages like Python or R and familiarity with data tools. However, part-time positions may have limited responsibilities compared to full-time roles and may require specific scheduling arrangements.

Is it still worth it to become a part time data analyst in 2026?

Part-time data analyst roles remain valuable in 2026 as organizations continue to prioritize data-driven decision-making. Success in this role often requires proficiency in tools like Excel, SQL, or Python, and the ability to analyze and interpret data efficiently, making it a viable option for flexible employment or skill development.

What are the most commonly searched types of Data jobs in Middletown, NJ?

The most popular types of Data jobs in Middletown, NJ are:

What are popular job titles related to Part Time Data jobs in Middletown, NJ?

For Part Time Data jobs in Middletown, NJ, the most frequently searched job titles are:

What job categories do people searching Part Time Data jobs in Middletown, NJ look for?

The top searched job categories for Part Time Data jobs in Middletown, NJ are:

What cities near Middletown, NJ are hiring for Part Time Data jobs?

Cities near Middletown, NJ with the most Part Time Data job openings:

Infographic showing various Part Time Data job openings in Middletown, NJ as of August 2026, with employment types broken down into 100% Part Time. Highlights an 92% In-person, and 8% Remote job distribution.

Part Time Data Analyst (Remote)

LEO&Co

New York, NY โ€ข Remote

Part-time

Re-posted 11 days ago


Job description

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data Analyst. In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data.

Responsibilities:

The Data Analyst (Remote) will:

  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs
  • Define data requirements and gathers and validates information, using judgment and statistical tests
  • Identify and troubleshoot data integration and integrity issues in cooperation with the appropriate business units
  • Design work flows and procedures
  • Identify opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance
  • Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools
  • Perform other duties, as needed

Qualifications:

  • 5+ years of experience in Quantitative Analysis, Data Modeling, Reporting, Relational Database tools, Data Warehousing, Database Architecture, and SQL, SAS, and/or SPSS
  • 3+ years of Technical experience in Software Development, Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work
  • Associate's and/or Bachelor's Degree
  • Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques
  • Knowledge of Financial terms and principles
  • Solid analytical and problem solving skills
  • Great interpersonal skills
  • Excellent communication skills (written and verbal)
  • Strong attention to detail
  • Highly organized