About the role

Business Insights Analyst consolidating financial and technology cost data for TD, a major Canadian bank. Delivering FinOps reporting, forecasting, dashboards, and cost optimization insights.

Responsibilities

Develop, maintain, and improve recurring financial reports, dashboards, and analysis for FinOps planning, cost management, and leadership reporting
Support monthly forecasting, actuals review, variance analysis, and commentary across technology and platform cost drivers
Analyze usage, spend, allocation, and unit-cost data to identify trends, anomalies, risks, and cost optimization opportunities
Maintain and improve financial models, reporting logic, and source-data checks
Partner with Finance, Technology, platform teams, and business stakeholders to validate assumptions, reconcile differences, and align definitions
Prepare decision-ready summaries for managers and senior stakeholders, including explanations of key drivers and recommendations
Support ad-hoc financial analysis, scenario analysis, and recurring portfolio reviews
Contribute to continuous improvement of FinOps reporting processes, documentation, and analytical standards
Support user onboarding, education materials, FAQs, user follow-up, feedback intake, reporting support, data quality checks, dashboard upkeep, exception review, and basic analysis
Maintain financial and unit cost models

Bachelor's degree in Finance, Accounting, Economics, Business Administration, Data Analytics, or a related field
2-5 years of experience in financial analysis, analytics, reporting, or a related role
Strong analytical skills and attention to detail
Ability to work with multi-source financial and operational data
Experience with Excel and financial reporting or visualization tools such as Power BI or Tableau
Working knowledge of financial modelling, forecasting, variance analysis, and management reporting
Ability to communicate analytical findings clearly to technical and non-technical audiences
Strong ownership and follow-through
Ability to manage multiple priorities in a fast-paced environment
SQL experience or familiarity with relational data concepts
Familiarity with cloud platforms and services such as Azure, AWS, or Google Cloud
Experience improving reporting processes, reconciliations, controls, or data quality checks
Exposure to unit economics, consumption-based technology costs, or allocation models

Base salary
Discretionary variable compensation award based on business and individual performance
Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs
Regular career, development, and performance conversations
Online learning platform
Mentoring programs
Training and onboarding sessions
Accessibility accommodations throughout the interview process