Finance Manager - Singapore - Amazon Payments Singapore Private Limited - N70

Description

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

• 5+ years of multiple finance and accounting roles experience
• 5+ years of building financial and operational reports/data sets that inform business decisionmaking experience
• 5+ years of creating process improvements with automation and analysis experience
• 5+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
• Bachelor's degree

At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people.

If you would like to help us build the place to find and buy anything online, this is your chance to make history.

• Comfortable working independently in a fastpaced environment.
• The ability to translate large amounts of data into useful information and actionable conclusions.
• Strong written and oral communication skills combined with the ability to meet tight deadlines and prioritize workloads.
• An understanding of finance issues in an operational environment of rapid growth.
• Solid business judgment and controllership focus.
• Strong PC modeling skills, including excellent knowledge of Microsoft Excel, Access, and SQL.

Amazon is committed to a diverse and inclusive workplace.

Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

Singapore, SGP

• MBA, or CFA
• 8+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
• 8+ 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
• Experience working with largescale 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