Analyst, Data Analytics & Modelling

About this role

Connor, Clark & Lunn Infrastructure
Toronto, ON
Interested in joining one of Canada’s top performing and fastest growing infrastructure investment teams? Connor, Clark & Lunn Infrastructure (“CC&L Infrastructure”) is seeking an Analyst to fill an existing role in our Asset Management Team. As a member of a collaborative, highly-motivated and performance-driven team, you will own the automation of reporting and monitoring workflows across our renewable energy portfolio, while developing the aptitude to enable broader AI adoption across the organization. You will work closely with the Director of Asset Management to build reliable, parameter-driven data pipelines that connect operational data to portfolio-level views that enable valuable decision making. This is an opportunity to work at the intersection of infrastructure investing and modern data automation. Our offices currently operate on a hybrid model with a combination of in office and remote working days throughout the week.


Responsibilities

• Build and maintain automated data collection pipelines for asset (Solar, Wind, Hydro) monitoring and reporting, including data ingestion, validation, and output generation;
• Build and maintain financial and operating models in Microsoft Excel;
• Automate monthly workflows by developing integrations between external data sources with internal work-product;
• Develop and maintain integrations to pull data from a variety of sources (API, SFTP, external databases);
• Implement validation layers with variance alerts and exception logging to ensure data integrity;
• Create and maintain site configuration registries so that adding new assets requires config updates only, not code changes;
• Contribute to AI enablement initiatives, including prototyping LLM-powered workflows; and
• Document data lineage, create runbooks, and support knowledge transfer to ensure operational continuity.

Qualifications

• Undergraduate degree in a quantitative field (enginee...