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Part Time Excel Data Analyst Jobs (NOW HIRING)

Fullstack Academy

Instructor - Business Analysis

... Data Analyst, or Technical Trainer * Strong expertise in: * Advanced Excel and data analysis ... Work Schedule Part-Time instructors typically work 10-15 hours per week depending on cohort ...

Fora

Senior Data Analyst, Marketing

New York, NY · On-site

$120K - $160K/yr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... About The Role We're looking for a Senior Data Analyst, Marketing to join our growing Data team and ...

Aptive

Data Analyst, Sr - AI Research Systems Support

$88K - $111K/yr

The Senior Data Analyst will support data analysis, reporting, statistical programming, and ... Proficiency with Microsoft Office Suite, including Excel and PowerPoint. * Ability to work ...

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Part Time Excel Data Analyst information

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

As of Jul 15, 2026, the average yearly pay for part time excel data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Excel Data Analyst vs Part Time Data Entry Clerk?

AspectPart Time Excel Data AnalystPart Time Data Entry Clerk
Required skillsExcel, data analysis, reportingData entry, basic computer skills
CertificationsExcel proficiency, data analysis certificationsNone typically required
Work environmentOffice, remote, or client sitesOffice, data centers, remote
Industry usageFinance, marketing, researchAdministrative, clerical tasks

While both roles involve working with data, a Part Time Excel Data Analyst focuses on analyzing data sets, creating reports, and deriving insights using Excel. In contrast, a Part Time Data Entry Clerk primarily inputs and manages data with less emphasis on analysis. The analyst role often requires Excel certifications and analytical skills, whereas the clerk role emphasizes accuracy and speed in data entry tasks.

What are some common challenges faced by part-time Excel Data Analysts, and how can they effectively manage their workload?

Part-time Excel Data Analysts often face the challenge of balancing multiple projects within limited working hours, which can make prioritization and time management crucial. They may also need to quickly familiarize themselves with new datasets or processes when collaborating with different departments. To manage these challenges effectively, it’s important to maintain clear communication with team members about deadlines and expectations, utilize Excel’s automation features (like macros or Power Query) to streamline repetitive tasks, and actively document their work for smooth handovers or future reference. Regularly reviewing priorities and proactively seeking clarification can help ensure productivity and accuracy, even with a part-time schedule.

What are part time Excel data analysts?

Part time Excel data analysts are professionals who work on a flexible or reduced-hour schedule to analyze, interpret, and manage data using Microsoft Excel. Their duties typically include organizing data sets, creating reports, developing charts and graphs, and using formulas or pivot tables to generate insights for a company or organization. These roles are ideal for individuals seeking work-life balance, students, or those supplementing other employment. Excel data analysts are essential in helping businesses make informed decisions by transforming raw data into actionable information.

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

To thrive as a Part Time Excel Data Analyst, you need strong analytical skills, attention to detail, and proficiency in Microsoft Excel, often backed by relevant coursework or experience in data management. Familiarity with Excel functions, pivot tables, data visualization tools, and sometimes knowledge of VBA or Power Query is highly beneficial. Effective communication, problem-solving abilities, and time management are crucial soft skills for interpreting data and sharing insights with stakeholders. These skills ensure accurate data analysis, efficient workflow, and valuable data-driven decision-making for organizations.
What cities are hiring for Part Time Excel Data Analyst jobs? Cities with the most Part Time Excel Data Analyst job openings:
What are the most commonly searched types of Excel Data Analyst jobs? The most popular types of Excel Data Analyst jobs are:
What states have the most Part Time Excel Data Analyst jobs? States with the most job openings for Part Time Excel Data Analyst jobs include:
Part Time Excel Data Analyst jobs near you
Part- Time Research Data Analyst

Part- Time Research Data Analyst

Penn State University

University Park, PA • On-site

Part-time

Re-posted 21 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

203rd of 555 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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