Senior Financial Analyst, Selling Partner Services, FP&A

Key job responsibilities

• Lead Headcount and OpEx month end reporting for WW SPS for VPs and Directors across Business and Finance leadership, by owning the end to end process of reporting and surfacing key insights and commentaries in monthly financial reviews to drive business decisions
• Maintain and improve existing finance processes to ensure data integrity and insightful analysis.
• Design and maintain automated dashboards to track and analyze headcount metrics, operational expenses, and commentaries
• Create compelling data visualizations and presentations to communicate headcount forecasts, and operational expense analyses to leadership
• Identify opportunities for process automation and efficiency improvements in headcount management, expense tracking, and space allocation systems

Strategic Partnership & Execution

• Support WW Selling Partner Services organization spanning Customer Trust, Selling Partner Experience & Infrastructure, and Fulfillment by Amazon
• Partner with key stakeholders to surface key insights for leadership reviews

Innovation & Process Excellence

• Drive AI tool development, adoption, and continuous improvement for the FP&A team
• Simplify and automate processes and reports within the WW Selling Partner Services organization
• Lead process improvement projects with measurable results

About the team

We are the Central FP&A team leading Strategic Headcount INsights and OpEx for WW Selling Partner Services. Our team provides strategic support to senior leadership and business partners through SPS-wide HC & OpEx planning, analysis, and reporting. We act as the go to source for centralized reporting, work between various regional teams across the globe, and partner with the most senior leaders in the SPS and broader Stores Org.

Basic Qualifications

• Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
• 3+ years of building financial and operational reports/data sets that inform business decision-making experience
• 3+ years of creating process improvements with automation and analysis experience
• Experience with cube engine tools (e.g. TM1, Cognos or Essbase), SQL and Data warehouse

Preferred Qualifications

• Experience in financial modeling, P&L management or analysis
• 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
• MBA, or CPA
• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
• Experience with generative AI tools, prompt engineering, or building AI-powered workflows for finance use cases.