SENIOR ANALYST, DATA & AUTOMATIONS - BDC CAPITAL

We are banking at another level.

Choosing BDC as your employer means working in a healthy, inclusive, and skilled workplace that puts forward the best conditions to bring together unique teams where employees are empowered to act. It also means being at the centre of ambitious economic and financial projects to see further and to do things differently, to fuel the success of Canadian entrepreneurs.

Choosing BDC as your employer also means:

Flexible and competitive benefits , including an Employee Savings and Investment Plan where BDC matches part of your voluntary contributions, a Defined Benefit Pension Plan, a $750 wellness and health care spending account, to name a few

In addition to paid vacation each year, five personal days , sick days as necessary , and our offices are closed from December 25 to January 1

A hybrid work model that truly balances work and personal life

Opportunities for learning , training and development , and much more...

Explore the BDC Way in our Culture Book

POSITION OVERVIEW

Drive operational excellence and innovation at BDC Capital through a robust data foundation, data quality, automation, and AI-enabled workflows. This senior role sits at the intersection of data , process , and AI-enabled operations — building the pipelines, workflows, and agents that give our front and middle office teams a faster, cleaner, and more trustworthy view of BDC Capital's activity. Reporting to the Director of Operations Support, the Senior Analyst is part of the BDC Capital Strategy & Operations team and works closely with Investment, Risk, IT, Finance, and external data providers. The role aligns with the Hub & Spoke operating model being built with IT. The Senior Analyst leads complex projects end-to-end, provides technical leadership, sets technical standards, mentors junior colleagues, and coaches peers on agents and automation practices.

CHALLENGES TO BE MET

Specific responsibilities

Data foundation & engineering

• Design and maintain reliable data flows across the firm's core systems — CRM, portfolio monitoring, subledgers, and external data providers — into a modern lakehouse-based data foundation.
• Own the data model for assigned domains, including transformations, tests, and metadata to support downstream analytics and AI querying.
• Establish and enforce data governance standards: catalog, glossary, lineage, and naming conventions.

Data quality

• Implement comprehensive error-checking, automated validations, and reconciliations across CRM and portfolio-monitoring systems, in close collaboration with data stewards across the business.
• Operationalize data quality checks onto scheduled, monitored jobs in a governed, auditable environment — replacing ad-hoc scripts and manual reviews.
• Troubleshoot data and configuration issues and continuously raise data reliability.