Education and Workforce Data Strategist

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  • Company American Institutes for Research
  • Employment Full-time
  • Location 🇺🇸 United States nationwide
  • Submitted Posted 1 week ago - Updated 21 hours ago
<p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">AIR’s Employment &amp; Economic Opportunity Program is seeking a <strong>Education and Workforce Data Strategist</strong> to integrate applied research, data science, and capacity-building for public sector change management. The position will work with internal teams and external partners to support the effective use of education and workforce administrative data for decision-making, continuous improvement, and policy development within and across states. The ideal candidate brings experience working with complex datasets and is equally comfortable conducting analyses and guiding others in how to interpret and use data in applied settings.&nbsp;</span></p><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">This position has the flexibility to work remotely within the United States (U.S.) (not including U.S. territories) or from one of AIR’s U.S. office locations but requires availability to participate in meetings across all continental U.S. time zones.&nbsp;</span></p><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>About AIR:</strong></span></p><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="color: rgb(0, 0, 0);">Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.</span></span></p><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>Responsibilities:</strong></span></p><ul><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Conduct quantitative analyses using administrative and survey data to support research, evaluation, and technical assistance efforts.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Contribute to the design of analytic approaches, including descriptive, longitudinal, and quasi-experimental methods.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Provide coaching and technical assistance to state and local clients and partners on the use of data for decision making.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Support clients in refining research questions, interpreting findings, and applying results to practice.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Design and facilitate workshops, trainings, or office hours to strengthen data use capacity among government and community-based organizations.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Prepare, clean, validate, and document complex administrative datasets.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Support data integration and linkage efforts across education and workforce systems within and across states.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Translate analytic findings into clear, actionable insights for non-technical audiences.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Contribute to written deliverables, including reports, briefs, presentations, and data visualizations.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Work collaboratively with multidisciplinary teams, including researchers, data scientists, and project staff.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Support multiple projects simultaneously, contributing to deliverables and timelines.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Apply and model best practices in reproducible research, including code documentation and version control.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Ensure data quality and integrity across all phases of analytic work.&nbsp;</span></li></ul><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>Qualifications:</strong></span></p><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>Education, Knowledge, and Experience</strong></span></p><ul><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">PhD in related subject area (Economics, Statistics, Public Policy, Public Health, Human Development, Political Science, Psychology, Sociology, or related fields), or a Master’s degree with a minimum of 4 years of relevant applied research experience.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Experience working on research or evaluation projects for federal, state, or local agencies or other public or nonprofit entities.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Demonstrated experience with research design, data analysis, and reporting.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Experience with data collection activities from the field using a variety of methodologies and data collection techniques such as interviews, focus groups, observations, and/or survey research.</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Familiarity with federal contracting and compliance standards is preferred, but not required.</span></li></ul><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>Skills</strong></span></p><ul><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Demonstrated ability to conduct quantitative analyses and support others in analytic thinking and data use.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Proficiency in one or more statistical/programming languages (e.g., R, Python).&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Experience working with administrative or operational datasets, including data cleaning, validation, and documentation and experience linking or integrating datasets across systems or agencies.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Experience using AI tools to synthesize information, draft content, analyze data, or improve efficiency in day-to-day work and ability to apply sound judgment when interpreting AI-generated outputs.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Demonstrated ability to integrate emerging and nontraditional data sources and clear understanding of the methodological limitations and analytic opportunities associated with high-frequency data.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Strong understanding of research design and analytic methods (e.g., descriptive analysis, longitudinal analysis, or causal inference approaches).&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Ability to communicate complex technical information clearly to non-technical audiences.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Experience working collaboratively in team-based environments and managing multiple tasks.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Experience training, mentoring, or coaching others in data use, analysis, or interpretation.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Familiarity with data systems and infrastructure, including SQL, databases, or cloud-based environments.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Knowledge of privacy, confidentiality, and restricted-use data environments.&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Experience with data visualization tools (e.g., Tableau, Power BI, Shiny).&nbsp;</span></li><li style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">Background in policy-relevant domains of education and workforce.&nbsp;</span></li></ul><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>Disclosures:</strong>&nbsp;Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.</span></p><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment.&nbsp;</span></p><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>ACCESSIBILITY NOTICE:&nbsp;</strong>If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.orgor call 202.403.5000.</span></p><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;"><strong>Fraudulent Job Scams Warning &amp; Disclaimer:&nbsp;</strong>AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out torecruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.</span></p><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">#LI-MP1 #LI-Remote</span></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><a href="https://www.air.org/build-career-air/benefits">AIR’s Total Rewards Program,</a> is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States.</p></div><div class="title">Anticipated Annual Salary Range</div><div class="pay-range"><span>$92,700</span><span class="divider">&mdash;</span><span>$123,600 USD</span></div></div></div>

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