SENIOR ANALYST, DATA & AUTOMATIONS – BDC CAPITAL

We Are Banking At Another Level.

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.

Automations & AI agents

• Architect and build end-to-end automations that eliminate repetitive manual work across the Investment and Strategy & Operations teams.
• Deploy and iterate on AI agents for tasks such as data capture, reconciliations, market and company research, portfolio monitoring, and reporting — reflecting the broader industry shift toward AI-augmented investment operations.
• Lead integrations that allow teams to query data through AI interfaces.
• Anticipate emerging tools and practices (agents, MCP, lakehouse capabilities) and guide their responsible adoption in the team.
• Establish reusable patterns, guardrails, and standards for automations

Systems support & deployment

• Ensure optimal usage of CRM and portfolio-monitoring platforms: configuration, portals, reports, and data integrity.
• Support IT and vendor deployments by gathering requirements, testing changes, and ensuring successful rollout to end users.

What We Are Looking For

Preferred educational background / experience

• Bachelor's degree in Computer Science, Data Science, Engineering, Commerce, STEM, or a related field. Relevant technical certifications an asset (e.g., Databricks, Azure/AWS data, dbt).
• 4–7 years of experience in a data, analytics, automation, or investment-operations role — preferably in a financial institution, VC/PE firm, consulting firm, technology company, or startup.
• Demonstrated experience designing and shipping automations or AI-enabled workflows in production, delivering projects end-to-end with senior stakeholders.

Skills, Knowledge & Competencies

• Data & analytics tooling: Advanced Python, SQL, and Power BI; hands-on with a modern lakehouse (e.g., Databricks, Snowflake). Familiarity with modern data engineering practices an asset.
• Automation & AI fluency: Hands-on with a workflow tool (e.g., n8n, Power Automate) and modern AI platforms (e.g., Copilot, Claude); working knowledge of MCPs, APIs, agent frameworks, and prompt engineering.
• Delivery mindset: Ships working systems, not slide decks. Obsesses over clean data, tight processes, auditability, and reusable components — can't leave a messy spreadsheet or manual handoff alone. Prioritizes ruthlessly and uses measurable outcomes to guide decisions.
• Curiosity and continuous learning: Proactively explores new technologies and thrives amid evolving requirements or incomplete information.
• Collaboration and internal networks: Builds and maintains strong internal networks across investment, risk, IT, and finance teams to deliver shared outcomes. Handles sensitive investment and portfolio data with appropriate controls.
• Strategic thinking and communication: Translates technical decisions for investment and executive audiences, articulating business value and strategic impact. Writes clear briefs and presents confidently.
• Leadership: Provides technical leadership, coaches junior analysts, sets technical standards, owns responsibilities end-to-end, and demonstrates leadership with senior audiences.
• Industry knowledge and business acumen: Solid understanding of VC/PE and the technology ecosystem. Fluency in French or English required, with intermediate proficiency in the other; fully bilingual preferred.

Proudly one of Canada’s Top 100 Employers and one of Canada’s Best Diversity Employers, we are committed to fostering a diverse, equitable, inclusive and accessible environment where all employees can thrive and feel empowered to bring their whole selves to work. If you require an accommodation to complete your application, please do not hesitate to contact us at accessibility@bdc.ca.

While we appreciate all applications, we advise that only the candidates selected to participate in the recruitment process will be contacted.

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