Role: Senior Business Data Analyst Location: Toronto, ON – Hybrid (3-4 days onsite per week) Duration: 6 Months (possible extension) Interview Process: In Person interview with technical test assessment Must-Have Skills: Experience with SQL + Credit Risk/Wholesale data + SAS/Python + Data Testing (strong UAT)
Key Accountabilities:
Providing subject matter expertise on Wholesale Credit Risk data, data processes and systems
Assisting in the system development and perform comprehensive testing to ensure technology deliverable fulfill business requirement
Perform in depth data analysis and investigation.
Providing tactical solution for urgent business requirement.
Identifies and documents the business partner’s functional and data requirements based on a business process description or data process to ensure that the final deliverable coincides with the context of the business operations
Reviews project documents (e.g., High Level Requirements Document [HLRD], High Level System Design Documents [HLSD], and application code) to ensure quality, completeness, and adherence to documentation standards, as well as identifies synergies between initiatives in order ensure the efficiency and effectiveness of the development process
Core Focus
70% Data Testing / 30% Requirements Analysis
Supporting commercial credit risk model development through data sourcing, validation, and testing
Knowledge & Skills:
Proficient using SQL statements to query data and perform data profiling, data verifications
Strong experience with business system analysis in a complex data warehousing environment running on Netezza and Cloud.
Strong experience gathering business requirement from client groups and converting these into functional specification documents
Strong sense of commitment
Experience with SAS/Python- either one
Background in Data Science, Information Systems, Statistics
Possesses solid business knowledge in Finance/Banking industry
Strong analytical skills, communication skills and presentation skills
MUST have strong testing experience working with massive volume and complex logic for data related to commerican credit risk models
Verifying complex data texting and doing test documenation
Education:
Possesses a university degree in Data Science, Engineering, Information Systems and/or Business
Applicant Notices & Disclaimers
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 64.00/hr.
