Senior Finance Analyst, WW Ops Finance-Robotics Suport

Key job responsibilities

• Financial Analysis & Reporting
  • Variance Analysis: Compare actuals to plan and forecast; identify drivers and communicate findings clearly to finance and business stakeholders.
  • KPI Dashboards: Build and maintain KPI dashboards and reporting mechanism that surface performance trends and actionable insights.
  • Closing Activities: Support monthly, quarterly, and annual close processes including journal entries, accruals, and reconciliations with accuracy and on schedule.
  • Ad Hoc Analysis: Respond to ad hoc financial requests with timely, accurate analysis to support decision-making across the business.
• Financial Modeling & Decision Support
  • Model Development: Build and maintain financial models to support forecasting, budgeting, scenario analysis, and investment evaluation.
  • OP1/OP2 Support: Support the annual operating plan (OP1) and mid-year operating plan (OP2) processes.
  • Forecast Management: Maintain short-range and long-range forecasts, incorporating business updates and flagging risks and opportunities.
• Business Partnership & Stakeholder Support
  • Cross-Functional Collaboration: Partner with program managers, operations, and technology teams to understand business context and translate it into accurate financial plans and reporting.
  • Finance Liaison: Serve as a key finance contact for assigned business areas, providing clear financial insights and supporting prioritization decisions.
  • Communication: Prepare well-structured financial narratives and presentations for finance leadership and business stakeholders.

Basic Qualifications

• 3+ years of tax, finance or a related analytical field experience
• 3+ years of applying key financial performance indicators (KPIs) to analyses experience
• Experience with advanced use of SQL for data mining and business intelligence

Preferred Qualifications

• 2+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
• 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)
• Bachelor's degree in finance, accounting or related field