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Finance Analyst with Italian
2 weeks ago(11/2/2018 7:32 AM)
Position Category for Posting
Finance & Accounting
Company/Location (search) : Country (Full Name)
Amazon is looking for energetic and experienced candidate to join the fast paced world of European Financial Operations in Bratislava. We’re not an average retailer and this is definitely not your average finance position. We’ll give you the opportunity to really make a difference to our business by working on and initiating projects in a fast-paced environment and ultimately delivering results.
About the role In REBNI Team (received but not invoiced), the main responsibility of the Finance Analyst is to efficiently manage and resolve payment related queries and issues, through pro-active cooperation with Amazon’s vendors and internal teams in order to assure in-time and accurate payments towards our vendors. Your tasks will include but will not be limited to: · Root cause analysis of payment related issues with focus on received, but not invoiced goods · Proactively contact vendors regarding pre-identified issues · Responding to inquiries with focus on high customer satisfaction · Close cooperation with finance operations in India · Accounts reconciliation · Standardize processes to ensure capacity for our significant growth
Base pay for this position starts at 1060 Eur and can be higher based on candidate's experience and skills.
· Must be fluent in English and Italian. French and/or Spanish is a plus · A desire to take responsibility and ownership for projects from day one · A keen eye for detail · A very self-motivated and flexible working approach · A passion for working with diverse teams with different cultures on an international team · Degree in Finance, Accounting, Business Studies or other directly related areas
Suitable candidates will have a passion for working with people, analytical acumen, strong interpersonal skills and effective communication skills. Suitable candidates will be comfortable with ambiguity, working with large databases, making assumptions with imperfect data and presenting their findings to management.