Finance Manager, Brazil Ads

Amazon Ads is growing rapidly in Brazil, and we are dedicated to driving measurable outcomes for brand advertisers, agencies, and entrepreneurs. We offer our customers a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying. These solutions help businesses build brand awareness, increase product sales, and more.

Amazon Ads seeks a Finance Manager to lead Brazil Ads Sales Finance. This role is the primary Finance partner to the General Manager of Brazil and sits on the Brazil Ads Leadership team.

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

1. Own the short and long-term revenue forecasts for Brazil Ads
2. Partner closely with the Brazil Ads GM and Brazil Ads leadership team
3. Prepare weekly, monthly, and quarterly business reviews
4. Represent Amazon Ads Brazil to internal stakeholder teams across Ads Finance, Stores Finance, FP&A, Legal, Accounting, and Tax teams
5. Optimize and prioritize investments based on a deep understanding of the Brazil Ads landscape across industry verticals, agency partners, and advertiser growth trajectory

A day in the life

This role will be the leader of Brazil 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.

Minimum requirements

1. Experience in tax, finance or a related analytical field
2. Experience in applying key financial performance indicators (KPIs) to analyses
3. Experience in building financial and operational reports/data sets that inform business decision-making
4. Advanced English
5. Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
6. Experience in identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan
7. Experience in 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)
8. Knowledge of SQL/ETL
9. MBA, or CPA