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Part Time Data Processing Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

$17/hr

... process. Please do not apply here, apply internally through Workday. * CURRENT PENN STATE STUDENT ... is seeking applicants for part-time job of Data Extraction Programming, an upper-level ...

CFS

Data Entry Specialist

Pittsburgh, PA

$16.50 - $22/hr

Data Entry Specialist 📍 Pittsburgh, PA 15201 (Open to Part-Time or Full-Time) 💲 $23-25 ... Collaborate with internal teams to ensure accurate and timely data processing * The Data Entry ...

The Pennsylvania State University

$18.75 - $21.75/hr

... process. Please do not apply here, apply internally through Workday. * CURRENT PENN STATE STUDENT ... Coordinate data collection with project supervisor on a daily basis * This job requires that you ...

The Pennsylvania State University

$19 - $26/hr

... hire a part time research assistant. This position will be responsible for data processing ... Experience with processing data from massively parallel DNA sequencers, computation on high ...

Herr Foods Inc.

Cash Clerk (PART-TIME)

Philadelphia, PA · On-site

Cash Clerk (PART-TIME) Department: DSD Warehouse Employment Type: Part Time Location: Southwest ... Additional clerical duties included, but not limited to, filing and data processing. * Check office ...

The Pennsylvania State University

$10/hr

... a part-time job of Research Assistant for a Chart Understanding Project. Job duties to include: * Data collection * Data processing * Conducting experiments with LLMs Requirements, qualifications ...

The Pennsylvania State University

... process. Please do not apply here, apply internally through Workday. * CURRENT PENN STATE STUDENT ... Design the plan for and analyze observational and survey data regarding policymakers' or ...

The Pennsylvania State University

$15.75 - $21/hr

... hiring part-time positions to assist faculty with research. Responsibilities include data ... and GIS data processing using QGIS and R. Additional tasks involve writing project metadata ...

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Part Time Data Processing information

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$27

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

As of Jun 12, 2026, the average hourly pay for part time data processing in Pennsylvania is $18.13, according to ZipRecruiter salary data. Most workers in this role earn between $14.47 and $20.14 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 Pennsylvania? The most popular types of Data Processing jobs in Pennsylvania are:
What are popular job titles related to Part Time Data Processing jobs in Pennsylvania? For Part Time Data Processing jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Part Time Data Processing jobs in Pennsylvania look for? The top searched job categories for Part Time Data Processing jobs in Pennsylvania are:
Part Time Data Processing jobs near you

Part Time Data Analyst - Family and Community Medicine

Penn State University

Hershey, PA • On-site

Part-time

Posted 15 days ago

Penn State University rating

7.9

Company rating: 7.9 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

173rd of 536 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
We are seeking a Part Time Data Analyst to support clinical informatics and health data science projects. This is a part time position. The analyst will develop data specifications and computer algorithms to support data extraction, management, and analysis efforts that inform clinical decision-making, health services and other research. The position involves both independent work and collaboration with clinicians, researchers, and data scientists. The analyst will be expected to periodically work in person in Hershey, Pennsylvania.
Preferred Qualifications
  • Experience with SAS and/or Python for data management and analysis
  • Basic knowledge of statistical methods (e.g., regression, hypothesis testing)
  • Familiarity with data management and cleaning techniques
  • Strong attention to detail and project management skills
  • Ability to work both independently and collaboratively

Key Responsibilities
  • Extract, clean, and manage large-scale datasets
  • Develop and maintain structured datasets for research and operational use
  • Perform data validation, quality checks, and documentation of data processes
  • Collaborate with the research teams to understand database schemas and data pipelines
  • Assist with cohort construction, feature engineering, and variable definition
  • Conduct descriptive and inferential statistical analyses
  • Generate tables, figures, and reports for research studies and presentations
  • Write and maintain code in SAS and/or Python for data processing and analysis
  • Work with relational databases (e.g., SQL) to query and manipulate data
  • Contribute to reproducible workflows and version-controlled codebases
  • Work closely with clinicians and investigators to translate clinical questions into analytic plans
  • Assist with IRB protocols, data use documentation, and regulatory compliance
  • Assist the manuscript and grant proposal development
  • Participate in team meetings and contribute to study design and interpretation

BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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