Finance Manager will be a finance partner to Fulfilment Center (FC) Operations Leadership supporting key business decisions while driving cost improvement programs. This includes, among other things, responsibility for financial metrics, reporting, forecasting and analysis. The successful candidate will be strategic, analytical, and have demonstrated ability to effectively manage the finances of a high-growth business.
Key job responsibilities
Build financial analysis models driving operational decisions across the Amazon network
Working on cost out initiatives
Working on long term plan, annual budgets etc
Automate existing models and tools to contribute in scale-up of the Amazon’s supply chain network.
Operations planning and cost planning for the Network
Weekly, Monthly Variance Analysis & reporting
Evaluate and improve methodologies that are the core of our business models and tools
Collaborate with operations personnel to drive process, productivity improvements and cost savings initiatives
Manage the Weekly, Monthly and Quarterly results reporting
Facilitate financial review meetings with key partner business groups
We are open to hiring candidates to work out of one of the following locations:
Istanbul, TUR
BASIC QUALIFICATIONS
BA or BS in Finance, Accounting, Business, Economics, or a highly analytical field (e.g., Engineering, Math, Computer Science)
7+ years of finance experience, or Master’s degree and 3+ years of finance experience.
PREFERRED QUALIFICATIONS
Knowledge of SQL, Advanced Excel, VBA Macros Exposure with Data Warehouse ETL queries, Oracle, and/or Cognos
Excellent communication and presentation skills working with multiple peer groups and levels of management
Strong financial acumen including familiarity with forecasting, budgeting, and variance analysis
Excellent grasp of corporate finance and cost accounting fundamentals
Strong operational business understanding, including potential impact of business decisions on various internal/external stakeholders
Strong resourcefulness and ability to find or develop compelling data given limited resources and time