Education and Workforce Data Strategist

2 hours, 45 minutes ago
Full-time
Mid Level
Data Science and Analytics
American Institutes for Research

American Institutes for Research

American Institutes for Research is a leading behavioral and social science research organization dedicated to using rigorous evidence to enhance everyday life and address critical societal issues across various fields, including education, health, and...

Professional Services
1K-5K
Founded 1946

Description

  • Conduct quantitative analyses using administrative and survey data to support research, evaluation, and technical assistance efforts.
  • Contribute to the design of analytic approaches, including descriptive, longitudinal, and quasi-experimental methods.
  • Provide coaching and technical assistance to state and local clients and partners on the use of data for decision making.
  • Support clients in refining research questions, interpreting findings, and applying results to practice.
  • Design and facilitate workshops, trainings, or office hours to strengthen data use capacity among government and community-based organizations.
  • Prepare, clean, validate, and document complex administrative datasets.
  • Support data integration and linkage efforts across education and workforce systems within and across states.
  • Translate analytic findings into clear, actionable insights for non-technical audiences.
  • Contribute to written deliverables, including reports, briefs, presentations, and data visualizations.
  • Work collaboratively with multidisciplinary teams and support multiple projects simultaneously while meeting deliverables and timelines.

Requirements

  • PhD in a related field such as Economics, Statistics, Public Policy, Public Health, Human Development, Political Science, Psychology, Sociology, or a related discipline, or a master’s degree with at least 4 years of relevant applied research experience.
  • Experience working on research or evaluation projects for federal, state, or local agencies or other public or nonprofit entities.
  • Demonstrated experience with research design, data analysis, and reporting.
  • Experience collecting data in the field using interviews, focus groups, observations, and/or survey research.
  • Proficiency in one or more statistical or programming languages such as R or Python.
  • Experience working with administrative or operational datasets, including cleaning, validation, documentation, and linking or integrating data across systems or agencies.
  • Experience using AI tools to synthesize information, draft content, analyze data, or improve efficiency, with sound judgment when interpreting AI-generated outputs.
  • Strong understanding of research design and analytic methods such as descriptive analysis, longitudinal analysis, or causal inference approaches.
  • Ability to communicate complex technical information clearly to non-technical audiences.
  • Experience training, mentoring, or coaching others in data use, analysis, or interpretation.
  • Familiarity with federal contracting and compliance standards is preferred.
  • Familiarity with data systems and infrastructure, including SQL, databases, or cloud-based environments.
  • Knowledge of privacy, confidentiality, and restricted-use data environments.
  • Experience with data visualization tools such as Tableau, Power BI, or Shiny.
  • Background in policy-relevant education and workforce domains.
  • Applicants must be currently authorized to work in the U.S. on a full-time basis, and employment-based visa sponsorship is not available.
  • Depending on project work, qualified candidates may need to meet certain residency requirements.

Benefits

  • Anticipated annual salary range of $92,700 to $123,600 USD.
  • Remote work flexibility within the United States, or the option to work from one of AIR’s U.S. office locations.
  • Coverage under AIR’s Total Rewards Program.
  • Equal employment opportunity and affirmative action workplace protections.
  • Reasonable accommodation support during the hiring process for candidates with disabilities.
  • Background and reference checks as part of a structured hiring process.
  • Drug-free work environment.

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