Finance Business Analyst

McAfee•Waterloo, ON

15h•$79,310 - $130,295•Hybrid

About The Position

The Financial Business Analyst delivers key insights to senior Finance leaders for faster, better decision-making. This role involves financial forecasting, daily performance analysis, executive reporting, and analytical ad hoc and project support. The position partners with Retention, Acquisition, and Data Analytics teams to translate business performance into clear insights for executive decision-making. The core of this role is to find the root cause of performance variances and collaborate with teams to resolve them. Building financial models and forecasting are essential components, as is the ability to navigate challenging requests and solve problems with multiple teams.

Requirements

3+ years of experience in financial analysis, FP&A, business operations, analytics, or a related role
Expert level Excel and financial modeling skills
High proficiency with Copilot and/or other AI tools (Claude, ChatGPT) in business applications
Strong forecasting and planning experience, including variance analysis, initiative sizing, and business performance tracking
Knowledge of SQL, Alteryx, or similar tools to be able to pull and analyze data
Excellent analytical and critical thinking skills and experience working with large data sets
Strong communicator (written and verbal) with a professional, polished style
Ability to work cross-functionally and individually to investigate problems
Solid attention to detail, reliability under recurring deadlines, and an ownership mindset
Strong collaborator who’s also confident working independently

Nice To Haves

BA/BS/BBA degree in Finance, Accounting, Economics, Business Analytics, Mathematics, Statistics, or a related quantitative field is preferred.
MBA/MA/MS is a plus

Responsibilities

Financial forecasting ownership: Own Finance Forecasting processes, translate annual goals into actionable and measurable daily and weekly performance projections and insights
Daily performance and ad hoc analysis: Identify variance drivers, and proactively flag risks, opportunities, and Ad Hoc analysis to help identify areas of opportunity within acquisition and retention
Deep-dive analytics: Build and maintain scalable analytical frameworks that improve visibility into granular business segments
AI Leadership: Leverage state of the art AI models and concepts to drive analytical outcomes, reporting, and financial modeling
Initiative tracking and impact quantification: Track business initiatives by timing, channel, source, and expected financial impact
Drive the results of the business: through proactive influence and partnership with marketing, data analytics, pricing team and other groups within the org