Analyze student success data with Python, R, and Power BI at the University of Waterloo in a full time temporary contract. Turn complex findings into decisions.

The Data Analyst and Evaluation Specialist supports data infrastructure, evaluation, and reporting across the Associate Provost, Students portfolio. You will source, consolidate, clean, merge, and analyze complex datasets while applying descriptive and inferential statistics. Your work supports retention, academic success, advising, transition initiatives, equity, and student experience programs.

Key Responsibilities:
Develop Power BI dashboards, visualizations, and analytical products
Clean, merge, format, and analyze complex institutional datasets
Identify data anomalies and refer discrepancies to data stewards
Support surveys, evaluation plans,



indicators, and reporting cycles
Translate findings for university administrators and campus stakeholders

Requirements:
Bachelor’s degree or equivalent education and experience
At least three years analyzing complex datasets
Experience with Python and/or R for data manipulation
Advanced Excel, SQL, Power BI, and statistical analysis knowledge
Solid consultation, communication, documentation, and organizational skills

Apply data analysis, evaluation, statistics, and visualization expertise to strengthen student success insights at the University of Waterloo.

📌 Data Analyst Student Success Evaluation London
🏢 University of Waterloo
📍 London