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.
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 behavior.
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 behavior using Salesforce attributes (industry, tier, start date) to strengthen NRR-related decision-making.
Conduct advanced analysis using statistical methods and predictive modeling to derive actionable insights on redemption volume, margin, and customer behavior.
Build models depicting potential business outcomes driven by changes in product and/or member behavior, 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 behavior 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.
Requirements
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 modeling, and predictive forecasting techniques.
Proficiency in data visualization tools (Tableau, Power BI) and querying languages (SQL).
Ability to interpret complex data sets and translate findings into compelling, executive-ready narratives.
Deep understanding of P&L dynamics, margin analysis, and revenue forecasting.
Proven ability to influence cross-functional teams and drive outcomes without direct authority.
Independent self-starter with a solution-oriented mindset and strong sense of urgency.
E-commerce, retail, rewards, or marketplace experience: candidates who understand redemption dynamics, catalogue economics, and customer purchasing behavior will have a significant head start in this role.
Familiarity with NRR / ARR forecasting and customer retention analytics.
Experience with Salesforce reporting and dashboard creation.
Tech Stack
SQL
Tableau
Benefits
Rewards for your impact through our Recognition and Rewards program
Health Benefits and Life Insurance Coverage beginning on your first day
Parental Leave Top-up
Employer matched RRSP contributions
Flexible Vacation to recharge, so you can bring your best
Employee and Family Assistance Program offering mental health, legal, and financial counselling
Supported professional development and career growth (Linkedin Learning, mentorship)
Employee-Led Employee Resource Groups that celebrate our diversity
Regular events designed to build connection, belonging, and well-being
Hybrid flexibility, with time in our beautiful Liberty Village, Toronto office