We are looking for a highly motivated and analytical SFA/Manager to take full ownership of our global e-commerce Marketplace P&L;, one of Achievers’ 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

You won’t just report the numbers - you’ll explain what happened, forecast what comes next, and actively shape the strategy and direction to help support growth

From building predictive models and share-of-wallet analyses to partnering with Customer Success on NRR strategy and existing customer ARR forecasting, this is a role for someone who wants to make a measurable impact across the business

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

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

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 modeling during peak periods (e.g., holiday redemptions) to enhance forecasting accuracy for float requirements and daily volume swings

What Success Looks Like:

Self‑starter mindset:



Demonstrates a strong bias for action by independently identifying high‑impact opportunities, building momentum around new ideas, and driving initiatives from concept through execution

Analytical infrastructure: You’ve built a comprehensive data and modeling framework connecting redemption activity, customer behavior, and financial performance — giving the organization a clear lens into Marketplace outcomes

Forecast accuracy & depth: You maintain a suite of forecasting and enhancement models that allow leadership to understand the drivers needed to close gaps between baseline and stretch targets

Cross‑functional impact: Teams across Finance, Customer Success, Merchandising, and Product rely on your insight to make better decisions about volume, margin, and revenue

Operational clarity: High‑level targets have been translated into actionable, customer‑level plans that teams can execute and track throughout the year

Benefits

Parental Leave Top‑up

RRSP Matching

Flexible Vacation

Health Benefits and Life Insurance Coverage Upon Your First Day

Employee and Family Assistance Program

Internal Mentorship Program

Full access to the LinkedIn Learning Library

Employee‑Led Employee Resource Groups

A beautiful office space located in Liberty Village, Toronto

Participation in our Points‑based Employee Recognition Program

Opportunities for professional development and career growth

If you bring experience from e-commerce, retail, or a rewards/marketplace workplace, that’s a significant advantage, you’ll hit the ground running with an intuitive understanding of redemption and e-commerce dynamics, catalogue economics, and customer purchasing behavior that are central to this roleStrong background in advanced data analysis, statistical modeling, and predictive forecasting techniquesAdvanced Excel skills (macros, arrays, pivots, lookups, conditional logic)Independent self‑starter with a solution‑oriented mindset and strong sense of urgencyAbility to interpret complex data sets and translate findings into compelling, executive‑ready narrativesProven ability to influence cross‑functional teams and drive outcomes without direct authorityBachelor’s degree in Finance, Business Analytics, Data Science, Statistics, or a related fieldProficiency in data visualization tools (Tableau, Power BI) and querying languages (SQL)5+ years of experience in strategic analytics or FP&A; within a fast‑paced, data‑driven environmentDeep understanding of P&L; dynamics, margin analysis, and revenue forecastingE-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 roleFamiliarity with NRR / ARR forecasting and customer retention analyticsExposure to tools like Tableau Pulse, Microsoft Copilot, or similar AI‑enabled analytics platformsExperience with Salesforce reporting and dashboard creation

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📌 Finance Manager (Marketplace) (Montreal)
🏢 Achievers
📍 Montreal