Quantitative Analyst

Who We Are

Simon Fraser University is a leading research university, advancing an inclusive and sustainable future. Our purpose – the essence of SFU – is to create and connect knowledge, learning and community for deeper understanding and meaningful impact. We are committed to fostering excellence, innovation, belonging and community in all that we do.

Student Services at Simon Fraser University is a large and diverse organization comprised of multiple departments working towards the common goals of strategic enrolment management, holistic student development and well-being, academic growth and success, co-curricular learning, and many other critical services and resources supporting individual SFU students along their educational journey. Dedicated to an inclusive and accessible approach to understanding its ever-changing student community, Student Services is proactive and responsive to the needs of SFU students and determined to meet its students where they’re at with innovative and student-centric initiatives.

The Quantitative Analyst is responsible for the development and delivery of statistical modeling and forecasting, data analysis, and providing assessment information to support strategic planning, decision making, policy development, and business process improvement for Student Services. Acting as a data scientist, the Quantitative Analyst designs research and statistical methodology, provides in-depth data analysis, in-depth statistical analysis, quantitative and qualitative analysis and reporting for Strategic Enrolment Management (SEM) functions.

The Quantitative Analyst maintains expertise in all aspects of student records and student success outcomes; assists in the oversight of Business Analysis and Assessment (BAA) reporting infrastructure; and prepares, delivers, and evaluates training on the use of reporting and other software systems. The Quantitative Analyst assists in the development, updating, and management of data and information in the Student Services databases.

The role extracts data and information from other internal and external sources to prepare ad hoc and recurring reports and assessments.

Full Job Description

Bachelor's degree in Statistics or a related quantitative science and three years of relevant experience in developing statistical and data analysis and survey methodologies, or an equivalent combination of education, training, and experience.

• Excellent knowledge of query and programming languages, and relational databases (e.g. R, Python, SQL, SAS, Stata).
• Excellent knowledge of desktop and web-based business intelligence and visual analytics tools (e.g., Tableau, Qlikview).
• Knowledge of best practices and principles of student records and student success.
• Advanced quantitative problem-solving skills, knowledge of research methodologies, data analysis, and report writing skills.
• Excellent interpersonal and communication skills.

At SFU, our goal is to ensure our people are valued and supported by promoting a healthy work-life balance, professional growth and development, as well as a safe and respectful workplace.

We offer temporary employees who belong in the Administrative & Professional Staff Association (APSA):

• An additional 7% pay in lieu of benefits & 8% vacation pay
• Employer paid extended health & dental plans
• Professional development funds (minimum contract period of 1 year)
• Hybrid-work program for eligible positions

The assignment end date is May 31, 2027.

SFU is an equity employer and strongly encourages applications from all qualified individuals including women, Indigenous Peoples, visible minorities, people of all sexual orientations and gender identities, persons with disabilities, and others who may contribute to the further diversification of the university.

We are committed to ensuring that the application and interview process is accessible to all applicants. If you require any assistance or accommodations, please contact