Finance Manager owning Achievers’ global e-commerce Marketplace P&L. Building predictive models and guiding margin, revenue, and customer growth decisions.
Responsibilities
Own the end-to-end global Marketplace P&L, including revenue and expenses, and drive analyses to improve net margin contribution
Build and maintain forecasting, enhancement, predictive, share-of-wallet, and customer ARR models
Translate revenue and volume targets into customer-tier-level operating plans
Partner with Accounting to reconcile reporting discrepancies and improve data integrity
Deliver Marketplace forecasting materials for FP&A and Board deliverables
Analyze expenses and cost drivers to identify efficiency opportunities and optimize resource allocation
Own and standardize executive KPI reporting for senior leadership and Board stakeholders
Build and scale Marketplace analytics workflows, documentation, governance, quality controls, and prioritization
Forecast existing customer ARR to support NRR targets and renewal and expansion visibility
Integrate Finance data with Marketplace redemption data and analyze customer cohorts and behavior
Conduct advanced statistical and predictive analysis of redemption volume, margin, and customer behavior
Create dashboards and executive presentations covering rebates, commissions, promotions, and KPIs
Support RFP positioning, feature pricing, product and partnership ROI assessments, vendor reviews, and scorecards
Present Marketplace performance and financial drivers to Customer Success forums and CSM partners
Partner with Merchandising, Product, BI, IT, and Marketplace leadership on assortment, roadmap, data, and operational improvements
Respond to ad hoc leadership questions and improve peak-period forecasting for float requirements and daily volume swings
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)
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