Who Can Apply
- Candidates must be legally authorized to work in Canada
Job Description
Insight Global is looking for a Senior Business Analyst to join the Retail Credit Risk Data Management group. This team supports risk data, analytics, and regulatory reporting across retail lending portfolios, with a current focus on environmental risk including real estate collateral data, and geocode‑driven analysis. The successful candidate will support upstream data remediation, transformation, and quality improvements as the bank continues its migration toward an Edge‑based data platform. This role sits within a structured delivery model with a dedicated Project Manager, where BA and BSA responsibilities are clearly separated. The initial phase involves manual data extraction and geocodes processing, with automation planned for future phases.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
5-7+ years of experience with credit risk, preferably within banking or financial services
Strong experience working with retail credit risk data
Experience working with real estate data and mortgage loans
Advanced SQL skills with hands‑on experience performing complex analysis and querying (Databricks preferred)
Strong understanding of ETL process and code
Experience supporting data remediation, transformation, and data quality initiatives
Strong understanding of data modeling, data lineage, and business rules (working with big data)
Experience working in Agile delivery environments and partnering with Project Managers
Strong communication skills with the ability to collaborate across Risk, Technology, Business, and Operations teams
Nice to Have Skills & Experience
Experience supporting environmental, flood, or climate risk analysis
Experience with wholesale credit risk data, exposure to real estate and collateral data, including secured and unsecured lending products
Experience hands on with Databricks and SAS
Experience working with geocode systems, latitude/longitude data, and geospatial remediation
Exposure to Hadoop, Netezza, or Edge‑based platforms
Experience with Power BI, data quality tools (Purview), or SAS
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.