Research and Evaluation (R&E) supports HPDâ€™s policy making and program design functions by providing high-quality, reliable, and objective data analysis. Our work is designed to help both internal and external stakeholders make informed decisions, develop sound approaches to policy intervention, and evaluate progress toward our goals. In addition to independent research focused on the specific needs of the agency, R&E also extends the capacity and resources of various business groups by providing expertise and/or technical support not otherwise available (i.e., analysis of complex data, interpretation of existing knowledge and research findings, and/or predictive modeling of trends). The Technical Researcher will report to the agencyâ€™s Acting Assistant Commissioner of Research and Evaluation. The Technical Researcher will work with the Assistant Commissioner to facilitate the agencyâ€™s research agenda, as well as design and execute program evaluations and various statistical analyses in support of the teamâ€™s ongoing projects. S/he will process, manage, and analyze large complex datasets to ensure the highest standards of data quality and integrity. The Technical Researcher will work closely with the team to support new projects and develop analytic strategies that serve the needs of the agency. The ideal candidate is one who is able to learn independently, think and work collaboratively, practice strong research ethics, and exhibit a commitment to conducting research with the goal of improving public policy. This position requires the following education, experience and skills: Masters or Doctoral Degree in Public Policy, Urban Planning, Public Administration, Sociology, Economics or other related field; 2-3 years of experience conducting research, including working knowledge of the following: reliability and validity, sampling, primary and secondary data collection, and data management; Experience managing and manipulating administrative data; Literacy in at least one of the following sets of statistical methods: econometrics, spatial analysis, hierarchical modeling and/or survey analysis; Fluency in multivariate (OLS) regression and categorical data analysis, as well as assumptions underlying such methods; Mastery of statistical software such as Stata or SAS; Proven desire to learn by doing and work hard to ensure the highest quality work product; Energetic, pro-active, independent, and intellectually-curious; Strong written and oral communications skills; Strong technical documentation skills.
$60,000.00 - $68,000.00
HOUSING PRESERVATION & DVLPMNT