Finance Manager Full Time

A successful candidate will operate independently in a rapidly growing and evolving business. The ideal candidate will be as comfortable building and refining financial models as they are with challenging and refining business strategies.

Key job responsibilities
Own the short and long-term revenue forecasts for EMEA Ads

Partner closely with the EMEA Ads GM and EMEA Ads leadership team

Prepare weekly, monthly, and quarterly business reviews

Represent Amazon Ads EMEA to internal stakeholder teams across Ads Finance, Stores Finance, FP&A, Legal, Accounting, and Tax teams

Optimize and prioritize investments based on a deep understanding of the EMEA Ads landscape across industry verticals, agency partners, and advertiser growth trajectory

A day in the life
This role will be the leader of EMEA Ads Sales Finance, and will interact with a diverse group of stakeholders across locales, functions, and levels.

About the team
This role is part of an international and decentralized team supporting over 30 recently launched Ads business across Asia, Europe, North and South America, and Australia.

BASIC QUALIFICATIONS

– 5+ years of multiple finance and accounting roles experience
– 6+ years of applying key financial performance indicators (KPIs) to analyses experience
– 6+ years of building financial and operational reports/data sets that inform business decision-making experience
– 6+ years of creating process improvements with automation and analysis experience
– Bachelor’s degree in engineering, statistics or business, or Bachelor’s degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience

PREFERRED QUALIFICATIONS

– 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
– 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience
– MBA, or CPA
– Knowledge of SQL/ETL
– 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 delivering forecasting, budgeting, and variance analysis, and data interpretation of results