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State of Oregon · 19 hours ago

Senior Research and Data Analyst - RA4

Salem, OR

Full-time

Hybrid

Mid, Senior Level

$6,121/mo - $9,368/mo

3+ years exp

The State of Oregon's Higher Education Coordinating Commission is seeking a Senior Research and Data Analyst to lead data analyses and research studies. This role involves designing and executing complex research projects that inform education and workforce policy, as well as collaborating with various stakeholders to improve data quality and accessibility.

GovernmentRecyclingSustainabilityWaste Management

No H1B

Responsibilities

Lead the design and execution of complex research and data analysis projects that inform education and workforce policy

Develop and apply rigorous quantitative and qualitative research methodologies, including sampling strategies, statistical modeling, and equity-centered approaches

Work with large-scale administrative datasets from multiple systems, ensuring data integration, validation, and methodological transparency

Use statistical programming tools (e.g., R, Python, SQL, Stata) to clean, transform, and analyze data for policy-relevant insights

Translate complex research findings into clear, actionable insights for diverse audiences, including policymakers, agency leadership, institutions, and the public

Develop policy briefs, technical reports, presentations, and interactive dashboards that support decision-making and public understanding

Build and maintain partnerships with state agencies, institutions, and community organizations to strengthen data access, research quality, and policy relevance

Consult regularly with agency leadership to identify needs for new research and data products

Coordinate with other agencies, national data sources, other state agency sources, and external groups as necessary to answer research questions

Qualification

Data analysisStatistical modelingResearch methodologiesStatistical programmingData governancePolicy analysisData integrationEquity lens applicationProject coordinationCommunication skillsCollaboration

Required

A Bachelor's Degree in any disciplines that included six-quarter units in statistics or quantitative analysis methods and procedures, and three years of experience using computerized applications to independently gather, compile, and analyze data and prepare narrative or statistical reports. Two of the three years must have included coordinating complex research projects

OR Five years of research experience using computerized applications to independently gather, compile, and analyze data and prepare narrative or statistical reports. Two of the five years must have included coordinating complex research projects

Preferred

An advanced degree in a field relevant to education or workforce research and policy. Master's or PhD in data science, economics, sociology, statistics, or related discipline that provides knowledge about public K-12 education, postsecondary education, or workforce policies and related research

Demonstrated experience leading independent research projects related to public policy. Expertise designing and executing research projects that address complex public policy issues

Demonstrated experience communicating research findings to diverse audiences. Experience translating complex data and policy analysis into clear, actionable insights to various audiences including policymakers, community organizations, and the public

Experience applying equity lens to data and research. Demonstrated understanding of how research and data systems reflect structural inequities and ability to design research that advances equity and inclusion

Experience leading and facilitating engagement with external partners. Ability to independently manage complex research initiatives, coordinate across teams, and build relationships with external participants and interested parties (e.g., government staff community organizations) to advance research that improves public policy and programs

Proficiency in statistical analysis of administrative and integrated data sets. Expertise in using and linking administrative data from multiple sources, including cleaning, transforming, and analyzing data and developing interactive dashboards to inform policy decisions. Preferred statistical programming languages are R, Python, SQL, or Stata