About The Position

Apple is seeking a highly proficient Budget Lead to support the Wallet & Payments Strategy organization. This role will be responsible for finance-related activities including managing and forecasting operation expenses requiring a deep understanding of business as well as positive relationships with key partners. Responsibilities include reconciling multiple data universes, identifying discrepancies, managing solutions, supporting other critical deliverables including quarter-end deep-dive analytics. This role will also collaborate cross-functionally across a globally distributed group to meet the data needs of the business and translate those needs into analytical requirements.

Requirements

  • Minimum 5 years meaningful experience in Finance, Accounting, or Budgeting.
  • Proven understanding of core finance and accounting principles, including accruals, P&Ls, forecasting, fiscal planning, budgeting and Procurement-to-Pay (P2P) processes.
  • Experience analyzing, reconciling, and interpreting large, complex data sets to identify patterns, trends and insights using Excel.
  • Strong financial competence; FP&A experience, Excel and SAP knowledge.
  • Proficient with big data systems and tools and Tableau dashboard design, development and publishing.
  • Ability to work with large amounts of data and see the ‘bigger picture’.
  • Critical thinking: able to look at numbers, trends, and data and come to new conclusions based on the findings.
  • Demonstrated strong organizational skills with attention to detail and ability to work with ambiguity and uncertainty.
  • Bachelor Degree or equivalent experience in Business, Finance or related field.

Nice To Haves

  • Advanced Excel skills.
  • SAP knowledge.

Responsibilities

  • Oversee the management of the organization’s budgeting process for Wallet Payments and Commerce products across multiple cross-functional teams.
  • Own forecasting and monitoring budget performance.
  • Provide operational and strategic support across a sophisticated organization.
  • Reconcile multiple data universes and identify discrepancies.
  • Manage solutions and support critical deliverables including quarter-end deep-dive analytics.
  • Collaborate cross-functionally across a globally distributed group to meet the data needs of the business.
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