Analyst, Data Analytics & Reporting

Job Description

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute. To learn more about CIBC, please visit CIBC.com What you'll be doing As an Analyst, Data Analytics & Reporting, you'll be a key member of our Risk Finance team, supporting the development and enhancement of forecasting models for Pre-Provision Net Revenue (PPNR) line items. You'll collaborate closely with business partners to deliver portfolio analytics and actionable insights that drive financial performance across products such as loans, deposits, treasury management, capital markets, and wealth management. Your focus will be on translating business and Finance objectives into scalable analytical solutions, executive-ready reporting, and ongoing monitoring tools. You'll use advanced statistical and machine learning techniques to improve forecast accuracy and explainability, automate reporting processes, and present findings to senior leaders. Working with limited direction, you'll ensure models and reports remain accurate and relevant through continuous validation and impact analysis. At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. How you'll succeed Model Development & Enhancement – Develop, document, and recalibrate PPNR forecasting models for revenue and expense line items, ensuring robust controls and ongoing accuracy. Advanced Analytics Application – Apply statistical, econometric, and machine learning techniques to improve forecast precision and sensitivity to business drivers. Data Management & Validation – Build, maintain, and reconcile datasets required for forecasting, ensuring data integrity across Finance and business systems. Performance Analysis & Recommendations – Conduct diagnostic analyses such as back-testing and benchmarking, attributing variances and recommending actions to optimize outcomes. Reporting & Visualization – Create and maintain dashboards and executive reports using tools like Power BI or Tableau to track key metrics, trends, and business drivers. Process Automation – Automate recurring data and reporting processes using approved tools (Python, SQL, Power Automate) to enhance efficiency and transparency. Stakeholder Communication – Present analytical findings, forecast drivers, and recommendations to senior stakeholders, using clear narratives and visual storytelling. Portfolio Monitoring – Produce and maintain portfolio analytics and executive summaries, covering metrics such as balances, credit quality, pricing, and customer/product mi

Required Skills