Senior Analyst, Risk Asset Management
Job in
Gatineau, Province de Québec, Canada
Listing for:
Brookfield Renewable
Full Time
position
Listed on 2026-06-12
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Security
Job Description & How to Apply Below
Brookfield Renewable North America attracts high-performing individuals who are driven to make an impact in a fast-paced and collaborative environment. We encourage collaboration across all levels of experience to promote learning, generate best ideas, and deliver quality results, with the aim for growth and career development. We offer unparalleled opportunity to lead and manage one of the largest renewable energy businesses with decades of history, while contributing to the global need for sustainable energy.
Summary
Reporting to the Director, Risk Asset Management, the Senior Analyst is responsible for operating and continuously enhancing Brookfield Renewable North America’s obligation management data quality, reporting, and automation capabilities. The role is centered on owning program intelligence—assessing performance metrics, analyzing obligation management data to identify gaps, trends, risks, and systemic issues, and translating insights into actionable recommendations.
This mandate is supported by disciplined monthly team-level reporting, executive-level quarterly reporting, robust data quality controls, and AI-enabled automation that enhances reliability and reduces manual effort. The Senior Analyst will also maintain and evolve existing AI-enabled tools and data logic to ensure reporting accuracy as business needs change, while proactively identifying new automation opportunities to further optimize processes and drive efficiency.
This position is based in our Gatineau office.
Responsibilities:
Evaluate program performance by consolidating obligation data from multiple sources to maintain a single, reliable view of performance across company and team levels.Develop and maintain advanced analytical logic (e.g., DAX measures, calculated columns, and data models in Power BI) to enable trend analysis, exception monitoring, and root-cause insights.Lead structured monthly operational performance reviews to identify emerging gaps, risks, and systemic issues.Partner with business stakeholders to conduct root-cause analysis, uncover key drivers of performance, and deliver actionable recommendations, including logic enhancements, training needs, workflow improvements, and governance controls.Deliver clear, insight-driven reporting to both team and executive audiences, continuously refining outputs to reflect evolving business needs.Collaborate with IT and data teams to enhance data pipelines, improve system integration, and strengthen data quality controls supporting obligation management tools.Establish and maintain documentation, data definitions, and governance standards to ensure consistency, transparency, and auditability of reporting outputs.Drive automation and efficiency by maintaining and enhancing AI-enabled tools and identifying opportunities to reduce manual effort and improve scalability of reporting and analysis.Promote adoption of reporting tools and insights through user enablement, training, and ongoing support to drive data-informed decision-making.Respond to ad hoc reporting and analysis requests from team leads, including obligation tracking and KPI reporting.Contribute to broader risk initiatives and special projects, as required.Requirements:
3-5 years of relevant experience in analytics, risk, compliance, program operations, contracts, or related functions.Undergraduate degree in Risk Management, Business Administration, Finance, Information Technology, or a related field.Demonstrated ability to own program intelligence, including interpreting performance metrics, identifying root causes, and translating insights into actionable recommendations.Strong experience with data visualization and analytics tools (Power BI preferred; experience with Alteryx or Tableau is an asset).Experience developing and maintaining advanced analytical logic (e.g., DAX, data modeling, calculated measures) to support scalable reporting and analysis.Experience building, maintaining, or enhancing AI-enabled analytics and automation workflows (e.g., automation pipelines, rule-based logic, workflow optimization, data quality controls).Proven ability to work with large, complex datasets from…
Position Requirements
10+ Years
work experience
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