The Institutional Analytics and Research (IAR) team supports and enables most university teams, departments, and colleges to make data-informed decisions that lead to better student outcomes.
Requirements
- Utilizes software, scripts, and algorithms to perform data-related tasks (e.g. importing, cleaning, transforming, analyzing, displaying) without human intervention.
- Writes and interprets technical documentation (e.g., Entity-Relationship, Conceptual, Logical, and Physical data models).
- Collaborates effectively with other technical specialists (e.g. data engineers) in the construction of data products, systems, and applications.
- 5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.
Responsibilities
- Drives the documentation of data and analytics needs in projects of high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders. Translates of user stories into technical requirements.
- Answers complex business questions requiring extensive knowledge of the university’s data assets across several domains and departments.
- Identifies adequate data sources and data sets to evaluate hypotheses, build forecasts, and support findings of research projects and experiments.
- Collaborates with Data Engineering in the development of complex ETL/ELT processes and data pipelines.
- Identifies, investigates, and solves complex data issues, contributing to the accuracy, completeness, consistency, timeliness, and validity of the university’s data.
- Collaborates with Data Engineering and other data & analytics partners to define standards and best practices that increase data quality across the university.
- Combines data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate action.
Other
- Sets and manages expectations about analytics tasks and activities through clear, timely, and effective communication with partners and stakeholders.
- Conveys information effectively to peers, partners, and senior leaders, using a variety of resources and formats (synchronous and asynchronous, verbal and written) such as e-mails, presentations, meetings, and workshops.
- Creates and organizes information about processes, projects, operations, data assets, and insights from analyses and research, making it accessible in ways that increase the university’s knowledge and efficiency.
- Supports and accelerates other team members’ development through constructive feedback and sharing of technical and institutional knowledge.
- Drives tasks, activities, and small-scale projects with high levels of autonomy, confidence, and collaboration with peers and partners.
