Business Analyst

Job Role:

Business Analyst

Duration: 5 Months of Contract (Need to go 4 days in week onsite)

Location:

Toronto, ON

This role sits at the heart of Client credit strategy modernization. As a Business Analyst on our SAS-to-PySpark migration project, you'll serve as the critical bridge between business stakeholders and a team of developers driving one of the organization’s key technology transformations. Your focus: understanding and documenting the business logic embedded in legacy SAS processes, ensuring that migrated PySpark solutions faithfully replicate intended outcomes, and validating results through rigorous end-to-end QA testing.

Working alongside a Project Manager and fellow developers, you'll help ensure the migration delivers accurate, trusted, and business‑ready solutions that directly support credit risk management.

• Engage business partners across credit risk and related functions to elicit, document, and validate the business logic underlying existing SAS processes.
• Translate complex analytical rules and data transformation logic into clear requirements that development teams can implement in PySpark.
• Execute end-to-end test runs of developer-delivered code, verifying that migrated PySpark solutions produce results consistent with legacy SAS outputs.
• Design and perform QA testing plans including data validation, reconciliation, and exception analysis to confirm accuracy and completeness of migrated processes.
• Collaborate closely with developers to clarify requirements, triage discrepancies, and support timely issue resolution throughout the migration lifecycle.
• Maintain clear, structured documentation of business rules, test cases, test results, and sign-off records to support project governance and knowledge transfer.
• Participate in sprint reviews and project checkpoints, providing the Project Manager and stakeholders with clear status updates on QA progress and outstanding items.

• 3+ years of business analysis experience, ideally within financial services or credit risk environments.
• Demonstrated ability to read and interpret SAS code or similar analytical/data transformation scripts to extract underlying business logic.
• Solid analytical and data literacy skills – comfortable querying data, comparing outputs, and identifying discrepancies between systems.
• Proven experience designing and executing QA or UAT test plans, including writing test cases and documenting results.
• Excellent stakeholder engagement skills – ability to work with business partners to gather requirements and build shared understanding of complex processes.
• Explicit and concise written and verbal communication skills for bridging technical and non-technical audiences.

Mindlance is an equal‑opportunity employer. We are committed to inclusive, equitable, barrier‑free recruitment and selection processes, and a work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.