Business Intelligence Engineer, Workforce Solutions
DESCRIPTION
The Workforce Solutions team is actively seeking a Business Intelligence Engineer who can build new business intelligence solutions end-to-end, with opportunities to utilize data and develop new ways to answer a wide variety of questions. Your contributions will be instrumental to tackle staffing challenges within Amazon's warehouses. The successful candidate will be a self-starter comfortable with ambiguity, have a strong attention to detail, an ability to work in a fast-paced environment, and be driven by a desire to innovate in this space.
Key job responsibilities
• Design, develop and maintain scaled, automated, user-friendly reports and dashboards
• Collaborate with business teams to understand requirements and translate them into actionable insights
• Work closely with data engineering, product management, Data Scientists and business stakeholders to deliver features to customers
• Communicate findings effectively to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current program performance, and ad-hoc investigations to support future improvements or innovations
• Recognize and adopt best practices in reporting and analysis through data integrity, test design, analysis, validation, and documentation
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.