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Part Time Data Analyst Jobs in State College, PA

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Part Time Data Analyst information

See State College, PA salary details

$33.3K

$80.8K

$133K

How much do part time data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for part time data analyst in State College, PA is $80,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,900.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

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

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.

What are the most commonly searched types of Data Analyst jobs in State College, PA?

The most popular types of Data Analyst jobs in State College, PA are:

What are popular job titles related to Part Time Data Analyst jobs in State College, PA?

For Part Time Data Analyst jobs in State College, PA, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analyst jobs in State College, PA look for?

The top searched job categories for Part Time Data Analyst jobs in State College, PA are:

What cities near State College, PA are hiring for Part Time Data Analyst jobs?

Cities near State College, PA with the most Part Time Data Analyst job openings:

Infographic showing various Part Time Data Analyst job openings in State College, PA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $80,822 per year, or $38.9 per hour.

Part- Time Research Data Analyst

Penn State University

University Park, PA • On-site

Part-time

Re-posted 14 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
Program Description
The Research Translation Platform invites applications for a Research Data Analyst interested in a career at the research-policy nexus supporting the evaluation and analytic needs of strategies for translating scientific evidence to policymakers. This exciting opportunity would support the analysis and evaluation of research translation models, such as the Research-to-Policy Collaboration model. The Analyst would be responsible for supporting methods development and data analysis for a variety of projects, and may have opportunities to contribute to the implementation of an effective, replicable and non-partisan model for brokering researchers and policymakers. While the Analyst should have advanced quantitative skills, prior policy experience is not required. Training and mentorship in applying their skills to the analysis of boundary-spanning initiatives will be provided. This mentored position provides an opportunity to learn translational skills while working with policymaking audiences, as well as opportunities to contribute to scholarly work regarding best practices for research translation and dissemination. Our team is hybrid academic and policy practice; thus, we use data for action. Preference will be given to those within commuting distance to the Washington, D.C. area, though it is not required.
Job Responsibilities
  • Design the plan for and analyze observational and survey data regarding policymakers' or researchers' engagement in boundary-spanning initiatives, including longitudinal and multi-level analyses
  • Extract, transform, clean, and maintain data from a variety of sources
  • Development and proactive upkeep of data sources (e.g., surveys in Redcap, observational data via a CRM)
  • Contribute to the development of analytic plans for grants and publications
  • Support analytic needs for grant writing and reporting (e.g., power analyses; interim impact analyses)
  • Meet with legislators or staff to collect survey data
  • Mentor undergraduate- and graduate-level interns and fellows on developing and executing analytic plans
  • Juggle multiple projects and move ideas into action with attention to methodological and analytic details
  • Support research planning by setting milestone goals and incremental internal deadlines to achieve goals

Skills and Traits Needed by Applicants
  • Excellent analytic abilities and advanced quantitative statistical modeling skills (e.g., longitudinal, multi-level, over dispersed) of large, messy datasets
  • Proficient with statistical programming software and languages (e.g., SAS, STATA, or R)
  • Excellent attention to detail
  • Applied research experience, such as large administrative datasets or real-world data
  • Enthusiasm and commitment to accelerating the translation of science to policy
  • Curiosity and a generalist attitude with interest in diverse social policy issues
  • Ability to work on multiple simultaneous projects and prioritize work based on project scope, organizational need, and timeline
  • Strong diplomatic communication and interpersonal skills
  • Strong communication skills, such as seeking input early in design and escalating threats or problems to PIs
  • Ensuring quality control of data collection, and alerting PIs as needed
  • Strong writing skills that can produce written sections of methods and results for peer review publication
  • Bipartisan mindset and ability to interpret findings from multiple viewpoints

Eligibility
  • Master's degree or higher; applicants may have their degrees from any department, but degrees in psychology, public health, human development, public policy, social work, or prevention science will be particularly good fits for the program.
  • While the RTP team primarily operates remotely, preference will be given to applicants in Virginia within commuting distance of Washington, D.C. to support in-person data collection from congressional staff
  • Applicants should review the list of states in which Penn State cannot support employment. Permanent residence must be established in an allowable state prior to position start date. https://hr.psu.edu/more/flexible-work-arrangements/out-of-state-notice
  • Remote work requires high-quality, high speed internet connection in a home office

Application Instructions
Full consideration will be given to those applicants who completely submit all materials online. A complete submission will consist of:
  • Cover Letter describing relevant experience and career goals
  • Resume or CV
  • Writing Sample (preferably samples of work directed toward academic audiences; 1-2 samples, 35-page cumulative max)
  • Three references. We will not contact references without your express permission, which may be requested in later stages of the interview process.

Supervision will be provided by Executive Director, Taylor Scott, Ph.D., and Director of Research and Evaluation, Elizabeth Long, Ph.D. Additional mentorship provided by Max Crowley, Ph.D., Professor at Pennsylvania State University.
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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