Posted on: 2021-07-16 20:40:45
Application due date: 6 August, 2021
Link to posting: https://jobs.macomb.edu/postings/4662
Job description: Job Function Under the supervision of the Director of Institutional Research assist research analysts with quantitative and qualitative research projects, including surveying, data collection, data organization, documentation, analysis, expository writing and web publication, in support of college administration, planning, evidence-based decision-making, program assessment and student success. Job Responsibilities • Plan, collect, organize, document, analyze and report various quantitative and qualitative research • Collaborate with internal and external personnel to produce timely, valid and useful research and statistical reports • Prepare written reports, tables, graphs, charts, methodological summaries and presentations based on research findings • Implement survey research on multiple platforms, including online, on-ground and telephone • Develop survey questionnaires for paper and online formats, including programming survey logic • Identify, collect and prepare data for uploading to governmental third party databases • Assist with in-person interviews and focus group implementation, including scheduling, contacting participants, site preparation, recording and transcribing focus group data • Analyze data collected from surveys, internal and external databases and other sources • Organize, update and upload content to departmental website (familiarity with website programming is not required) • Conduct data retrieval from relational database, using business intelligence software Prepare and routinely update project status reports • Perform other related duties as assigned SUPERVISION RECEIVED: Reports to the Director of Institutional Research and takes direction from the senior research analysts. SUPERVISION GIVEN: May supervise part time staff as needed Education Bachelor’s degree in a quantitative social science field or data science is required. Preliminary Qualifications One year of experience in quantitative research, data analysis and expository writing is required.