Financial Analyst Intern, FinOps
DESCRIPTION
About the Organization:
Amazon.com, Inc. is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online. Amazon has websites in over 14 countries and launched the India marketplace (Amazon.in) in July 2013.
Job Description:
Are you looking for an opportunity to kick-start your Finance career in the exciting and fast-growing e-commerce industry with one of the largest e-commerce companies in the world? Are you excited about combining your financial skills and accounting knowledge to uncover new business opportunities? Are you a CA student, having cleared IPCC with 12-18 months of Articleship period left? If your answer to these questions is yes, then joining the Amazon India team as a trainee is the opportunity you have been waiting for! We’re hiring Industrial Trainees (Finance Analyst Interns) across multiple teams in the Amazon India organization. The selected candidate(s) will get an opportunity to work closely with Accounting and FPA teams to deliver best in class financial reporting and data analysis to facilitate decision making across various business lines.
BASIC QUALIFICATIONS
- 1+ years of finance experience
- 2+ years of Accounts Receivable or Account Payable experience
- 2+ years of applying key financial performance indicators (KPIs) to analyses experience
- Knowledge of standard software including Excel, Access, Oracle, Essbase, SQL and VBA skills
- Experience using data to influence business decisions
- Experience in corporate finance including budgeting/planning, forecasting and reporting
PREFERRED QUALIFICATIONS
- 2+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- Experience in TM1, Data Warehouse and SQL