VetJobs - The Leading Military Job Board

Description

Amazon Web Services (AWS) seeks a Finance Manager to be key member supporting Asia Pacific and Japan Central team. This is an exciting opportunity to join one of the fastest growing divisions within Amazon. As a Finance Manager, you will work closely with business leaders to develop financial models and analytical insights to assist in evaluating new business concepts, turning insights into operational measurements, and identifying paths to improve the overall planning and forecasting process.

Key job responsibilities

• Lead short- and long-term financial planning

• Build financial models for new business concepts

• Present financial summary and business insights to senior management; and

• Tighten internal controls for program spending and revenue accrual

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

We are open to hiring candidates to work out of one of the following locations:

Singapore, SGP

Basic Qualifications

• 5+ years of tax, finance or a related analytical field experience

• 5+ years of multiple finance and accounting roles experience

• 6+ years of Accounts Receivable or Account Payable 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

• 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results 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