Business Intelligence Engineer II, Global Logistics
DESCRIPTION
Join Amazon's Global Logistics team as a Business Intelligence Engineer II and drive operational excellence through data-driven insights. You'll play a crucial role in optimizing business processes, analyzing complex systems, and developing innovative solutions that directly impact Amazon's global logistics network. This position offers an exciting opportunity to leverage your analytical skills and passion for problem-solving to enhance one of the world's most advanced supply chain operations.
Key job responsibilities
- Design and implement scalable approaches to support data-driven decision-making
- Apply advanced analytical techniques to solve complex business problems
- Develop and maintain ETL processes for large-scale data analysis
- Build and validate statistical models and machine learning algorithms
- Communicate insights and recommendations to stakeholders across the organization
A day in the life
As a Business Intelligence Engineer II, you'll start your day by reviewing key performance metrics and identifying areas for improvement. You might collaborate with cross-functional teams to gather requirements for a new analytics tool, then spend time coding and testing your solution. In the afternoon, you could present your findings to business partners, recommending process improvements based on your analysis. You'll constantly be learning, adapting to new challenges, and making a tangible impact on Amazon's logistics operations.
About the team
The Global Logistics Business Intelligence team is dedicated to driving continuous improvement through data-driven insights. We're a diverse group of problem-solvers who thrive on turning complex data into actionable strategies. Our work directly influences Amazon's ability to deliver products efficiently and reliably to customers worldwide. We're passionate about innovation, committed to excellence, and always looking for new ways to optimize our global logistics network.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stock
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
- If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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.