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Part Time Entry Level Data Analyst Jobs in York, PA

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Part Time Entry Level Data Analyst information

See York, PA salary details

$13

$32

$60

How much do part time entry level data analyst jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for part time entry level data analyst in York, PA is $32.41, according to ZipRecruiter salary data. Most workers in this role earn between $20.82 and $36.20 per hour, depending on experience, location, and employer.

What is a part time entry level data analyst?

A part time entry level data analyst is someone who works fewer hours than a full-time employee and is typically new to the field of data analysis. Their main responsibilities include collecting, cleaning, and interpreting data to help organizations make informed decisions. They often use basic tools like Excel or introductory data analysis software, and work under the supervision of more experienced analysts. Entry level roles are designed for those who may have limited professional experience or are recent graduates looking to build their skills.

What types of projects and tasks can I expect to handle as a part time entry level data analyst?

As a part-time entry level data analyst, you'll typically work on tasks such as cleaning and organizing raw data, creating basic reports and visualizations, and assisting with data quality checks. You might also help maintain databases or support senior analysts with ongoing projects, such as tracking key metrics or preparing presentations. The projects are usually well-defined and supervised, making this role an excellent opportunity to build foundational skills while working closely with experienced team members.

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

To thrive as a Part Time Entry Level Data Analyst, you generally need a basic understanding of statistics, data interpretation, and proficiency with spreadsheet tools like Microsoft Excel, often supported by a relevant degree or coursework. Familiarity with data visualization software (e.g., Tableau), databases (e.g., SQL), and potentially introductory certifications in analytics are common requirements. Attention to detail, problem-solving abilities, and effective communication are soft skills that set standout candidates apart. These skills and qualities are crucial for accurately analyzing data, drawing meaningful insights, and clearly presenting findings to support organizational decision-making.

What are popular job titles related to Part Time Entry Level Data Analyst jobs in York, PA?

For Part Time Entry Level Data Analyst jobs in York, PA, the most frequently searched job titles are:

What job categories do people searching Part Time Entry Level Data Analyst jobs in York, PA look for?

The top searched job categories for Part Time Entry Level Data Analyst jobs in York, PA are:

What cities near York, PA are hiring for Part Time Entry Level Data Analyst jobs?

Cities near York, PA with the most Part Time Entry Level Data Analyst job openings:

Part Time Entry Level Data Analyst jobs near you
Infographic showing various Part Time Entry Level Data Analyst job openings in York, PA as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $67,403 per year, or $32.4 per hour.

Part Time - Student (Graduate) - AI Research Assistant

Penn State University

Middletown, PA • On-site

$15/hr

Part-time

Re-posted 2 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

237th of 631 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
The Graduate Research Assistant will assist with research, data analysis, process improvement, and AI exploration activities that support the development of a more efficient and stable academic scheduling process.
Job Duties
Responsibilities may include:
  • Collecting, organizing, and analyzing historical scheduling, enrollment, classroom utilization, and related institutional data using Microsoft Excel and other analytical tools.
  • Conducting literature reviews and environmental scans on AI applications, higher education scheduling systems, process automation, and scheduling optimization.
  • Assisting in the evaluation of AI-enabled technologies (e.g., Microsoft Copilot, Power Automate, Ad Astra, Infosilem, UiPath, and similar platforms) for their potential application to academic scheduling.
  • Documenting current scheduling workflows and helping identify opportunities for automation, standardization, and process improvement.
  • Assisting with data reconciliation, validation, and preparation of scheduling datasets for analysis.
  • Supporting the development of reports, presentations, process documentation, and grant deliverables for project stakeholders.
  • Participating in project meetings and collaborating with faculty, administrators, and campus partners throughout the duration of the project.
  • Performing other research and administrative tasks as assigned in support of the grant objectives.

Requirements and Qualifications
Selected applicants must be enrolled as graduate students at Penn State. Preference will be given to students with backgrounds or demonstrated interest in business analytics, information systems, computer science, engineering, artificial intelligence, operations management, data analytics, or related fields.
Preferred qualifications include:
  • Strong analytical and problem-solving skills.
  • Proficiency with Microsoft Excel and Microsoft Office applications.
  • Experience working with data, databases, or process mapping.
  • Familiarity with AI tools, automation technologies, or programming languages (e.g., Python, SQL, Power Automate, Copilot) is desirable but not required.
  • Strong written and verbal communication skills.
  • Ability to work independently while collaborating effectively as part of a multidisciplinary project team.

Compensation: $15.00 per hour.
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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