Data Analyst/Manager x 2

Typical Day in Role:
• Deep dive into banking source data, performing data analysis to understand target data processing flows and rules
• Identifying technical solutions to meet business requirements and analyzing SAS code to find causes of errors
• Act as a subject matter expert for Retail Credit Risk initiatives (AIRB, Basel III), while working with data engineers and business analysts to analyze, document, develop and test enhancements to the existing system
• Works with stakeholders and technology teams to build and implement models to support regulatory reporting

Candidate Requirements/Must-Have skills:
1. 8+ years’ Data Analysis and Data Management experience
2. 8+ years’ SQL based technologies and ability to write advanced SQL queries
3. 4+ years’ experience with SAS Enterprise Guide (EG), including SAS macros
4. 2+ years’ working experience with Unix and Linux commands
5. Familiarity with agile tooling to efficiently build as a team: Git, Jira, Confluence, etc.

Nice to Have Skills
• Working knowledge of Datastage, Informatica
• Experience with Python
• Previous relatable financial institution experience in Credit risk, IFRS is an asset

Soft Skills
• Excellent communication skills with the ability to present technical results to stakeholders across a wide variety of functions
• High aptitude for diving in and picking up new technologies as required
• Be flexible and independent to own and drive the assigned tasks
Best vs Average: The three aspects that are critical for a good fit are: SAS experience, SQL capability, and soft skills (ability to own the work and communicate effectively).

Education
• Post-secondary degree in a technical field such as computer science, computer engineering or related field