Knowledge, Skills and Abilities:
Must have intermediate level proficiency in a statistical software package for a language such as SAS, Python, or R.
Ability to work with data users to ensure College reports are appropriate for needs and to prepare user-friendly oral or written descriptions of College data to ensure users are able to locate, understand, interpret accurately, and validly use data.
Knowledge of institutional research methodology needs assessment, data collection, and quantitative analyses, and analytical and numerical skills
Intermediate to Advanced MS Excel skills in formatting data for tables and graphs
Ability to communicate effectively with support personnel to mid-level College administrators in written, oral, and visual formats to ensure data users are able to interpret accurately and validly use data for decision-making.
Skill and ability to work collaboratively in an open office environment and to adapt to and contribute to change that requires continuous learning, initiative, and problem solving.
Ability to innovate and to think critically to identify prospective improvements to processes across areas of responsibility.
Ability to work independently with attention to details, accuracy, and organization while prioritizing and coordinating diverse, varied projects with effective time and task management involving multiple stakeholders.
Bachelor’s degree in quantitative science-related discipline or commensurate experience or credentials
Master's degree in quantitative science-related discipline or commensurate experience or credentials.
Two years experience as quantitative research analyst performing data analysis, predictive modeling, or machine learning with a statistical package such as Python, SAS, or R.
SAS Certified Programmer, Level One or above