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Quantitative Analyst
3 months ago
Union/Affiliation:
**Administrative and Professional Staff (APSA)**
- Pay range:
**$69,903 to $83,473 annually**
- SFU Department Descr:
**Education, Analysis and Planning**
- Position Grade:
**9**
- # of openings:
**1**
- Biweekly Hours:
**72**
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 Learning Experiences Assessment and Planning (LEAP). 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 LEAP functions. The Quantitative Analyst maintains expertise in all aspects of course evaluations and learning outcomes; assists in the oversight of LEAP 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 LEAP databases. The incumbent extracts data and information from other internal and external sources to prepare ad hoc and recurring reports and assessments. The Quantitative Analyst contributes to the design and development of information systems and the identification of the University's future information needs.
We are looking for a person with a background on creating visual analytics, developing new business intelligence workbooks (i.e. Tableau), reports and dashboards, and updating and maintaining existing dashboards to ensure LEAP managed information is accessible and understandable to the appropriate stakeholders.
Qualifications:
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.
- Knowledge of best practices and principles of teaching and course evaluation, and learning outcomes assessment.
- Advanced quantitative problem-solving skills, knowledge of research methodologies, data analysis, and report writing skills.
- 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).
- Excellent interpersonal and communication skills.
- Good knowledge of multivariate classification and regression techniques; experience with GLMs, tree-based ensembles, and/or neural networks.
- Good knowledge of survey methodology, administration, and analysis.
- Ability to conduct mathematical, statistical, financial or economic analyses on large, complex datasets.
- Ability to work cooperatively and effectively with others.
- Ability to exercise sound judgment and discretion when responding to requests for data and information.
**Assignment End Date: 1 year from start date**
**Please include your cover letter and resume in one attachment.
