Level

Amazon

Financial Analyst Intern, AMZL

AI in this role

The analyst will support the Business and the finance leader by producing and delivering financial analysis that would facilitate corrective actions and right decision making. This person would define business and financial metrics considering worldwide reporting processes and local business need and shall build a process to capture and analyze these metrics on a weekly interval.

The Tenure will be in the range of 12 months

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we score this

Financial Analyst Intern, AMZL at Amazon scores 34 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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