DESCRIPTION:

Amazon seeks a highly effective Senior Finance Analyst to be a key member of the Global Engineering Services (GES) Finance team. GES supports the greater Global Operations organization with end-to-end project lifecycle planning, design, execution, and integration.

You will partner with the engineering leadership and team with an emphasis on identifying and supporting the team on driving efficiencies, synergies and productivity. This is an exciting opportunity to join one of the most innovative businesses at Amazon

Key job responsibilities
- Oversee financial reporting. Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning.
- Use data to identify disruptive ideas and provide advice to business leaders. With Controllership as the top priority, you identify, resolve, or provide guidance to resolve complex data integrity issues.
- Educate business partners on financial and non-financial trade-offs.
- Create effective business partnerships, manages competing priorities, and provides guidance based on data analysis during unexpected events.
- Partner with services finance and operations leadership to build a bottoms up operating plan and establish key initiatives to achieve topline and bottom line targets.

A day in the life
This role will suit an individual who enjoys a fast pace and helps clarify ambiguous situations and is comfortable with working with multiple stakeholders No two days will be the same, but some examples of work include:

1) Partnering with the teams on headcount gearing modelling (forecasting headcount requirements based on project plans)
2) Supporting the teams during the planning cycle
3) Dive deep into current data and processes with a view to driving automation and efficiencies

BASIC QUALIFICATIONS:

- Bachelor's degree or equivalent in Finance, Business, Economics, Mathematics, or other highly quantitative fields
- Experience working with stakeholders, or experience in financial modeling, P&L management or analysis
- Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python), or experience in Excel (macros, index, conditional list, arrays, pivots, lookups)
- Experience building and managing financial models for business forecasting and problem solving

PREFERRED QUALIFICATIONS: