The Amazon Warehousing and Distribution team (AWD) is at the forefront of supply chain innovation, and is leading the next generation of marketplace and multi-channel storage and distribution services.
We are looking for a passionate, result-oriented and inventive Business Intelligence Engineer. This is an opportunity to work in a startup like environment within Amazon and we seek an individual who is motivated by a fast-paced and highly entrepreneurial environment. You will be part of a growing Business Intelligence team within the wider FBA org with leaders to mentor and support your growth.
We are looking for someone who is detail-driven, and has excellent problem solving and deep dive abilities including experience with modelling complex data. Ability to navigate ambiguous programs while keeping a high bar on quality of outputs is a must. You will be a key contributor to shaping our strategic innovations and customer experience by equipping the product and operations teams with the relevant insights.
The role requires you to feel comfortable working with and clearly communicating with other functional teams, regionally and globally.
Key responsibilities are to:
1. Design, develop and maintain scalable (automated) reports and dashboards that track progress towards plans
2. Automate data pipelines
3. Define, track and report program success metrics
4. Collaborate with business and product teams to define data requirements and processes
5. Building scalable, efficient, and automated data processes to facilitate customer-facing reporting.
Key job responsibilities
1. Design, develop and maintain scalable (automated) reports and dashboards that track progress towards plans
2. Automate data pipelines
3. Define, track and report program success metrics
4. Collaborate with business and product teams to define data requirements and processes
5. Building scalable, efficient, and automated data processes to facilitate customer-facing reporting.- 5+ 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 writing complex SQL queries
- 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- 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 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.
