Business Data Analyst

SPECTRAFORCE; Canada; Hybrid; CAD 70,000 - 90,000; Full time

Job summary

A leading consulting firm in Canada is seeking a Senior Data Analyst to work in a hybrid model from Toronto, ON. The ideal candidate will have strong skills in SQL, SAS, and Python, and will be responsible for providing subject matter expertise on Wholesale Credit Risk data. You will support data management, perform comprehensive testing, and conduct in-depth data analysis for urgent business requirements. A university degree in a relevant field and experience in the finance industry are required.

Qualifications

• Experience with SQL and Credit Risk/Wholesale data.
• Expertise in SAS and Python is a must.
• Strong understanding of data processes in finance and banking.

Responsibilities

• Provide expertise on Wholesale Credit Risk data and processes.
• Assist in system development and testing.
• Conduct in-depth data analysis and provide tactical solutions.

Skills

SQL

Credit Risk/Wholesale data

SAS

Python

Data Analysis

Business System Analysis

Data Profiling

Risk/Finance/Portfolio knowledge

Strong analytical skills

Communication skills

Education

University degree in Data Science, Engineering, Information Systems and/or Business

Tools

Netezza

Cloud technologies

Job description

Senior Data Analyst

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

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

Seniority level

• Mid‑Senior level

Employment type

• Contract

Job function

• Information Technology

Industry

• Banking