Senior Financial Analyst, Supply Chain Finance

Barnes & Noble•Monroe Township, NJ

1d•Hybrid

About The Position

Join our FP&A team as the finance partner to our distribution centers (DCs) while we scale automation across eCommerce and retail. You will analyze labor, freight and unit economics, build forecasts and business cases, and give Finance and DC leaders the insight they need to make investment and operating decisions. This is a high-visibility role. You will work directly with DC leadership and report to the Director, Supply Chain Finance. Your analysis will shape how we plan, staff and invest in our distribution network. This role is on-site at our Monroe, NJ distribution center three days per week, because the work depends on being close to the operation and the people running it. You may work remotely two days per week, subject to business needs. You and the Director, Supply Chain Finance, will agree on your in-office days, so the team has consistent coverage.

Requirements

Advanced Excel and financial modeling skills, including dynamic models that others can follow and update.
Proficiency in SQL for querying relational databases, plus experience building dashboards in Power BI or a similar BI tool.
Experience with forecasting, budgeting or variance analysis, including Opex and Capex.
A track record of owning recurring processes and improving or automating them.
Strong communication: you can turn a complex model into a clear recommendation for finance and operations leaders.
Bachelor's degree in Finance, Accounting, Analytics, Supply Chain or another quantitative field.
5+ years in FP&A, operations finance or analytics, ideally in retail, eCommerce, logistics or distribution.

Nice To Haves

Experience with activity-based costing, labor standards or productivity analysis in a DC or fulfillment setting.
Familiarity with a warehouse management system (for example Manhattan or Blue Yonder), an ERP (SAP or Oracle) or a planning tool (Anaplan, Hyperion or similar).
Exposure to parcel and LTL freight cost analysis.
Python or R for analysis and automation.

Responsibilities

Own the weekly and monthly financial reporting for DC leadership, including dashboards in Power BI built on SQL and our internal systems.
Track core KPIs such as Units per Hour (UPH), Average Hourly Rate (AHR) and Cost per Unit (CPU), explain variances, and recommend actions to capture savings or reduce risk.
Partner with DC leaders on labor productivity, including full-time, part-time and overtime mix and productive versus unproductive payroll.
Build activity-based costing analyses that show what drives DC costs: the profile of work, the cost drivers and how they relate.
Develop business cases and ROI models for automation and other capital projects and support Opex and Capex planning.
Forecast inbound and outbound units by business unit and connect them to freight expense and recovery forecasts, working with the Director, Supply Chain Finance on best practices.
Analyze freight cost by carrier (for example UPS, LTL and pool carriers) in partnership with the Logistics team, using internal and external data.
Take ownership of existing forecasting, budgeting and modeling processes, and automate or simplify them where you can.
Build working knowledge of how our systems structure data across sales, receipts, shipments, returns, DC inventory, payroll and freight. We provide structured onboarding, and you are expected to become the go-to expert within your first year.