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Business Intelligence Engineer II, GM Field
2 months ago
We are seeking a highly skilled Business Intelligence Engineer to join our Amazon Worldwide Fulfillment (AWF) Visibility team. As a key member of our team, you will play a critical role in designing and building innovative products and programs focused on enhancing the experience for customers, sellers, and vendors navigating global trade and logistics.
Key Responsibilities- Develop and maintain scalable data pipelines to collect, integrate, and analyze large volumes of operational data from large-scale relational databases.
- Design and build sophisticated analytical models and dashboards to deliver actionable insights.
- Collaborate cross-functionally with product managers and stakeholders to uncover key business problems and translate them into data-driven solutions.
- Work closely with Data Engineers to design clean and scalable data sources required for analytics and reporting.
- Define and develop business-critical metrics, reports, and key performance indicators that provide comprehensive visibility into our products/programs and are consumable by a wide range of business functions and decision-makers.
The Amazon Worldwide Fulfillment (AWF) Visibility team is at the forefront of disrupting the way products are bought, sold, and distributed on a global scale. By leveraging cutting-edge data and analytics capabilities, we are empowering our customers, sellers, and vendors to navigate the complexities of international trade and logistics more effectively than ever before.
What We OfferAmazon 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:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL 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
- 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
- A highly collaborative team player with good communication abilities, who can effectively translate complex data insights into actionable business recommendations