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Part Time Adobe Data Analyst Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

$69K - $158K/yr

Share Signals Data Analyst, Mid The Opportunity: Leverage SIGINT and non-SIGINT data sources to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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 Fora is looking for a Senior Data Analyst, Marketing to join our growing Data team ...

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

As of Aug 12, 2026, the average yearly pay for part time adobe 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.
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Part- Time Research Data Analyst

Penn State University

University Park, PA • On-site

Part-time

Re-posted 18 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

229th of 618 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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