We're a company of pioneers. It's our job to make bold bets and we get our energy from inventing on behalf of customers. Success is measured against the possible, not the probable. For today’s pioneers, that’s exactly why there’s no place on Earth they’d rather build than here.

The PPT-BI team needs an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as business acumen and the ability to work with quantitative and business teams. Our top candidate will be a self-starter comfortable forging their own trail, with a sharp eye for details, an ability to work in a fast-paced and ever-changing environment, and the ability to communicate effectively with senior leadership.

The ideal candidate is an independent and curious self-starter with a demonstrated ability to produce high-quality technical content, drive complex documentation projects, collaborate with technologists and subject matter experts, and have a high tolerance for ambiguity and a bias toward action.

Key job responsibilities
- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
- Partnering with other analysts and engineers to build analytical solutions to deliver on business goals
- Propose and implement business metrics for senior management reviews and work with business intelligence and data engineers to design and develop data infrastructure to support business growth
- Perform deep-dives to find the root causes behind variances of key parameters over a given time-period

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience writing complex SQL queries- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with forecasting and statistical analysis

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.