Student Success Analytics Engineer (Hybrid)

Utah State University; Logan (UT); Hybrid; USD 63.000 - 77.000; Vollzeit

Benefits dieser Stelle

Hybrid work

Zusammenfassung

Utah State University invites applications for an Analytics Engineer - Student Success to advance our analytics capabilities. In this role you will partner with the Institutional Data Engineering team to develop and maintain analytic data models powering predictive analytics, student success reporting, and institutional decision making.

You will design medallion data architecture (bronze, silver, gold), transform raw data into analytics-ready datasets, and deliver dashboards and metrics that

Qualifikationen

• Bachelor's degree in data science, computer science, information systems, statistics, or a related field plus one year of related experience.
• Experience working with relational databases and SQL.
• Experience developing data transformations or data pipelines.
• Familiarity with data modeling concepts (e.g., dimensional modeling, star schemas).
• Experience working with analytics or reporting tools such as Power BI, Tableau, or similar platforms.

Aufgaben

• Design and maintain analytics-ready data models that support student achievement, learning outcomes assessment, and student success initiatives.
• Develop curated data layers within the university's medallion data architecture to support reporting, dashboards, and predictive analytics (silver and gold layers).
• Transform complex institutional data sources into structured analytical datasets suitable for downstream analytics tools. Ensure data transformations are scalable, well-documented, and maintainable.
• Collaborate with stakeholders to understand analytics needs and translate questions into scalable data solutions.

Kenntnisse

SQL mastery

Relational databases

Data transformation

Dimensional modeling

Analytics tooling

Communication

Tools

Power BI

Tableau

dbt

Jobbeschreibung

Utah State University invites applications for an Analytics Engineer - Student Success to advance our analytics capabilities. In this role you will partner with the Institutional Data Engineering team to develop and maintain analytic data models powering predictive analytics, student success reporting, and institutional decision making.

You will design medallion data architecture (bronze, silver, gold), transform raw data into analytics-ready datasets, and deliver dashboards and metrics that