Business Intelligence Engineer, WW Ops Finance S&A

WW Ops Finance S&A team is seeking an experienced Business Intelligence Engineer with excellent ETL skills along with analytical abilities. Would you like to be part of team driving business intelligence strategies for one of the largest supply chain in the world and helping improve delivery experience for billions of Amazon customers worldwide? Come join us!


Key job responsibilities
The ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's supply chain. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion. You need to be able to convey your ideas via clear and concise verbal and written communications.

- Interact with business customers, gather requirements and deliver accurate, easy to use and scalable Business Intelligence solutions in AWS (Redshift, EMR, Glue, S3 etc), Quicksight/Quicksight Q, Python/R, and other Amazon proprietary BI tools
- Build ETL, data pipeline jobs, appropriate aggregations, and automated delivery in SQL, Python/R, shell script.
- Design data models on varied database platforms like Redshift, MySQL or object based data stores.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Apply your deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data set. Not afraid to deep dive in big data.

A day in the life
Within this role you will have unique opportunities to work alongside engineers, product managers, data scientists, program managers and finance leaders to help build next gen analytics and data driven reporting supported via one of the largest finance data warehouses and/or datalake. You will be helping scale the supply chain cost allocation/analytics which spans across multiple geographies of North America and Europe. You will work closely with product managers to design and implement new cost allocation strategies, work with engineers across the transportation network to assess impact of new program rollouts & help build operational and anomaly detection reporting solutions. Amazon has a culture of being builders and you will get to use the latest technology stack offered via AWS and internal amazon tools to help scale big and fast.

About the team
WW Ops Finance S&A (Standardization and Automation) is the central Data and BI team serving the Amazon supply chain and transportation finance organization. Our BI team owns multiple single source of truth data assets that are keys to initiatives to drive supply chain optimization and improve end-to-end profitability of Amazon store business.

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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, protected veteran status, disability, age, 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.