Director of Research Analytics
The UNC Charlotte Urban Institute (UI) is the primary applied research and public service arm of the University of North Carolina at Charlotte. Its mission is to meet the community research and technical support needs of the state’s urban and developing areas. A primary geographic focus of the Institute’s activities is the Charlotte Region, the 14-county area surrounding the City of Charlotte, the largest city in the Carolinas.
The primary purpose of the Director of Research Analytics is to assist in the effective administration of Institute research and specifically facilitate strategic and operational use of Institute data assets including the Institute for Social Capital (ISC) Integrated Data System, the Quality of Life Explorer, Regional Indicators, survey research platforms, and other data assets that the Institute owns or stewards.
Director of Research Analytics assists in the administration of UI research and directs the day-to-day management and analytic use of Urban Institute data platforms. This position has significant technical, social research, and managerial components, requires ongoing community relationship maintenance with community data partners, and requires a broad knowledge of research methodologies, data management technologies, and analytic and visualization/dissemination techniques. The Associate Director also works with staff researchers in the UNC Charlotte Urban Institute to guide project data analysis, including working to develop and refine project data analysis plans. The Associate Director is responsible for directing projects related to her/his/their social science research expertise. This position is responsible for managing and mentoring research staff and students.
• A Doctoral Degree in social or data sciences and 3 years of post-doctoral social sciences research experience or a Master’s degree and at least 7 years of post-master’s research experience is required.
• Program and project management experience
• Experience supervising others including experience training and managing researchers and data analysts and developing analytics capacity of a team.
• Experience working with databases, including Structured Query Language (SQL), and extract, transform, and load (ETL) processes.
• Proficiency in use of SAS, SPSS, R, or STATA for program evaluation models, multivariate and other complex analyses
• Experience in machine learning (Neural Networks, Classification, and Clustering, supervised and unsupervised learning) and ability to manage, integrate, and analyze large datasets.
• Experience with GIS-based Spatial Analyses in urban applications and expertise in ArcGIS
• Experience with advanced statistical and econometric models and techniques in survey research, program evaluation and other observational data (Linear and Non-linear Multilevel Models, Treatment Effects, Structural Equation Models, Bayesian Methods)
• Experience with advanced data visualization techniques in R and Tableau
• Experience in coordinating and managing social science research projects, data collection and management, statistical and qualitative analysis, and reporting
• Strong organizational as well as oral, written, and interpersonal communication skills
• Experience with large databases at the national, state, and local levels
• Experience in facilitating meetings with community members, government officials, and other stakeholders
• Ability to work independently and collaboratively and demonstrate initiative in both independent and collaborative work
• Ability to manage and prioritize multiple projects
• Ability to conceptualize, monitor, and revise policies, procedures, and practices
• Interest in a range of topics impacting social welfare, the economy, and the environment, particularly structural level impacts and evidence-based solutions.
• PhD in social sciences, with at least three years post-doctoral experience managing research analytics.
• Preferred methodological expertise in one or more of the following areas:
• Ability to plan, conduct, and manage/facilitate survey research for a wide variety of stakeholders including community partners and faculty researchers.
• Ability to conduct and managing rigorous evaluations for community-based nonprofit and governmental agencies and initiatives and experience using advanced quantitative analytic techniques to determine program outcomes and impact.
• Ability to collect, analyze, and visualize secondary data using a variety of sources (local administrative data, Census data, and other federal and state data sources) and techniques (descriptive and inferential, spatial analysis, mapping).
• Advanced experience with statistical analyses applied in social research including exploratory analyses, hypothesis testing, spatial analysis, multivariate analyses such as regression, ANOVA, and multilevel models.
• Advanced database management experience
• Advanced proficiency with structured data modeling, including how to model relational database tables.
• Proficiency in unstructured and semi-structured data management. For example, an understanding of how to work with unstructured or semi-structured data such as event data. i.e. Twitter data
• Advanced data visualization – Ability to convey data to a variety of audiences as well as use software like Tableau.
• Advanced GIS proficiency
• Advanced proficiency in statistical packages SAS, R, or STATA
• Proficiency in T-SQL and Python are preferred