Skills

Communication Python Data Analysis SQL Data Warehousing Change Management Presentation Skills Analytical Skills Data Science

Job Specifications

Role: Business Data Analyst

Location: Toronto, ON – Hybrid (4 days onsite per week)

Duration: 12 Months (possible extension)

Must-Have Skills: Experience with SQL + Credit Risk/Wholesale data + SAS/Python

Candidate having prior experience with Commercial lending data, Credit risk metrics (PD, LGD, EAD, ratings), SQL and hands-on data experience. Looking for someone with Risk/Finance/Portfolio teams and who has exposure to lending or credit systems.

Reason for hire: supporting data needs and added workload, change management

Provides change management, data services and analysis in support of MDPA

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

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
Background in Data Science, Information Systems, Statistics
Possesses solid business knowledge in Finance/Banking industry
Strong analytical skills, communication skills and presentation skills

Education:

Possesses a university degree in Data Science, Engineering, Information Systems and/or Business

About the Company

Welcome to SPECTRAFORCE, your gateway to NEWJOBPHORIA(tm)! Established in 2004, SPECTRAFORCE is now one of the largest and fastest growing U.S. staffing firms renowned for its exceptional client service, SPECTRAFORCE's innovative A.I.-powered talent acquisition platform and proven methodologies set us apart in the industry. We offer a comprehensive range of services including Contingent, Permanent, and Statement of Work (SOW) staffing solutions. Our expertise extends across multiple sectors such as Technology, Financial Se... Know more