Finance Manager NUMÉRO DE POSTE: 303037

About the Company 

Our client is software company. They are looking for a Finance Manager who will be responsible for full ownership of our global e-commerce Marketplace P&L, one of the company’s most important revenue streams. This role sits at the intersection of Finance, Business Intelligence, Customer Success, Merchandising, and Product, translating Marketplace activity into financial insight, strategic forecasting, and operational action.

Why Work Here 

• Opportunity to join a reputable, global organization with opportunity for career development and progression
• Strong culture with hybrid working arrangement and flexible vacation policy 
• Join a strong FP&A team and act as a true finance business partner for the Marketplace portfolio

About the Opportunity 

Marketplace P&L Ownership & Forecasting:

• Own the end-to-end Marketplace P&L (revenue and expenses), driving data analyses for the Marketplace Division with a goal of improving net margin contribution.
• Build and maintain complex and dynamic forecasting models that track Marketplace potential vs. performance across key revenue pillars — including promotions, merchandising, pricing, and product enhancements.
• Develop enhancement models for initiatives such as Top-Up programs, pricing reviews, merchandising improvements, and share-of-wallet expansion.
• Translate high-level revenue and volume targets into actionable, customer-tier-level operating plans that enable clearer execution and performance tracking.
• Partner with Accounting to reconcile reporting discrepancies, improve data integrity, and increase confidence in reported numbers.
• Deliver Marketplace forecasting materials to support FP&A and Board deliverables.
• Drive deep expense and cost driver analysis, identifying efficiency opportunities and optimizing resource allocation to improve Marketplace margin performance.
• Own and standardize executive KPI reporting cadences, delivering consistent performance insights to senior leadership and Board stakeholders.
• Build and scale the Marketplace analytics foundation — including structured data workflows, documentation standards, data governance, quality controls, and request prioritization — to ensure analytical consistency, scalability, and reduced dependency on ad hoc analysis.

NRR & Existing Customer ARR Forecasting:

• Forecast existing customer ARR to support Net Revenue Retention (NRR) targets and provide visibility into renewal and expansion performance.
• Integrate Finance data (ARR, customer segmentation) with Marketplace redemption data to close the loop between commercial performance and customer behaviour.
• Develop share-of-wallet models to quantify expansion opportunities across customer segments and inform growth strategies.
• Track changes in user and member counts for key customers over time, surfacing the impact of organizational changes on Marketplace activity and retention.
• Provide financial insight into customer cohort behaviour using Salesforce attributes (industry, tier, start date) to strengthen NRR-related decision-making.

Strategic Analysis & Modelling:

• Conduct advanced analysis using statistical methods and predictive modelling to derive actionable insights on redemption volume, margin, and customer behaviour.
• Build models depicting potential business outcomes driven by changes in product and/or member behaviour, framing recommendations to achieve desired outcomes.
• Enable mix-rate reporting that isolates the true sources of performance impact across customers, products, and regions.
• Drive member balance distribution analysis to improve understanding of redemption potential, breakage risk, and regional behaviour patterns.
• Create and maintain dashboards (rebate/commission, promotions, KPI scorecards) for senior leadership review and executive presentations.
• Support RFP positioning, feature pricing analysis, and product/partnership ROI assessments.

Customer Success (CSM) Support & Cross-Functional Partnership:

• Present regularly at Customer Success forums to explain Marketplace performance, key drivers, and the financial impact of recent initiatives.
• Meet directly with CSM partners to evaluate and refine margin drivers, ensuring alignment between customer actions and financial outcomes.
• Create periodic customer target lists to focus CS efforts on the highest-impact growth opportunities.
• Partner with Merchandising to optimize assortment decisions — including catalog curation, margin drivers, and new product margin requirements.
• Partner with Product leadership to shape and prioritize the strategic roadmap, balancing customer experience innovation with initiatives that drive redemption growth and marketplace performance.
• Collaborate across the Marketplace Senior Leadership Team to drive operational excellence, improve forecasting and planning rigor, and remove friction across the end-to-end marketplace ecosystem.
• Support vendor review materials and scorecards to inform supplier performance discussions.

Ad Hod Analysis & Financial Alignment:

• Respond to emerging leadership questions with ad hoc analysis and forecasting to address evolving business needs.
• Support cross-departmental analysis initiatives that influence Marketplace performance — including product campaign efficacy, promotional impact, and SWAG initiative evaluation.
• Partner with BI and IT to advance the Marketplace data agenda, surface new insights, and improve analytical infrastructure.
• Lead efforts to consolidate Marketplace data into structured formats for advanced analysis using tools such as Tableau Pulse and Microsoft Copilot.
• Improve predictive modelling during peak periods (e.g., holiday redemptions) to enhance forecasting accuracy for float requirements and daily volume swings.

About You 

• Bachelor’s degree in finance, Business Analytics, Data Science, Statistics, or a related field.
• 5 years of experience in strategic analytics or FP&A within a fast-paced, data-driven environment.
• Strong background in advanced data analysis, statistical modelling, and predictive forecasting techniques.
• Proficiency in data visualization tools (Tableau, Power BI) and querying languages (SQL).
• Advanced Excel skills (macros, arrays, pivots, lookups, conditional logic).

Salary Range 

$105,000 - $135,000/year 

How to Apply 

Click the “Apply Now” button and follow the instructions to submit your resume. Please know that we only accept documents in MS Word or Rich Text formats.  

When referencing this job, quote #303037

This position for employment is for a current vacancy with Vaco/Highspring’s client. You must currently reside within the Greater Toronto Area and be permitted to work in Canada to be considered for this opportunity. A recruiter will be in touch with you if your profile meets our client’s requirements for this role. 

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.