Finance Analyst Intern (Full-time / Part-time)

Recruiter
Amazon
Location
Singapore
Salary
Competitive salary
Posted
01 Mar 2021
Closes
03 Mar 2021
Ref
9586_8486962
Experience level
Entry level, Internship
DESCRIPTION

**You will need to have the legal right to work in Singapore for this role. If you are currently on any pass, please indicate pass type in resume**

**This is a 6 month opportunity from Jan - July 2021, you may need to apply for a Leave of Absence from university**
**This position can either be a Full-time Internship OR a Part-time Internship with 3 working days per week**

Singapore Financial Analyst Intern Job Description:
At Amazon, were working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, creative, and driven people. If you want to help make history and have fun, Amazon is the place for you. Amazon seeks a Finance Analyst intern to join the SG Prime Now Finance team, based in Singapore. This finance professional will primarily focus on partnering with the business team and finance manager to work on key weekly and monthly deliverables, track business performance and influence the business decisions based on in depth analysis.

Primary responsibilities:
• Own weekly and monthly deliverables that are integral part of the business, including increasing the reliability and efficiency of reporting.
• Work on a strategic project(s) that is data intensive, analytical, and centered on real business issue
• Partner with the business team to work on adhoc financial analyst requests

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.

BASIC QUALIFICATIONS

• You must be a final year student of a degree/ Masters/ MBA in business, finance, accounting, or related field
• Strong Excel skills
• Excellent communication skills, both verbal and written

PREFERRED QUALIFICATIONS

• Able to work in an ambiguous environment with tight deadlines
• Comfortable working with large volumes of complex data and presenting findings
• Be a self-starter
• Committed to learning new things, taking ownership, and getting things done
• Experience with SQL

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