Data Insights Engineer
hace 6 días
We are seeking a highly skilled Business Intelligence Solutions Developer to join our Process and Systems Engineering (PSE) team at Amazon Spain Services, S.L.U. - B76. As a key member of our team, you will play a critical role in driving performance measurement, innovation, and execution in Fulfillment Center Operations.
Key Responsibilities- Develop Innovative BI Solutions: Translate customer and business opportunities into innovative Business Intelligence solutions, leveraging extensive datasets to drive data-driven decisions and build models that address critical questions for our stakeholders.
- Manage Intake and Coordinate Requirements: Manage intake, coordinate, and gather requirements from business partners to handle increased data volume and the demand for more cost-efficient and scalable data pipelines and technical solutions.
- Prioritize Initiatives and Design Technical Solutions: Prioritize initiatives, design, and implement technical solutions with appropriate strategies and design principles.
- Design and Create Data Pipelines: Identify, design, and create data pipelines to feed Business Intelligence tools and dashboards.
- Develop Metrics and KPIs: Identify and develop metrics and KPIs, and translate them into insightful dashboards using Business Intelligence tools (i.e. QuickSight).
The PSE team is a group of operational leaders driving process innovation, stabilization, standardization, and continuous improvement for all the fulfillment centers (FC) in EU, especially focusing on Amazon Robotics FC Network.
This team is essential to establish best-in-class network performance across all performance paths, accelerate implementation of technology advancements, and to strengthen the technical acumen and process knowledge for the operational leaders across the FC network.
We are open to hiring candidates to work out of one of the following locations:
Barcelona, ESP
BASIC QUALIFICATIONS- Experience in the data / BI space
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience in Statistical Analysis packages such as R, SAS, and Matlab
- Experience writing complex SQL queries
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