Business Intelligence Solutions Developer

hace 2 semanas

Barcelona, Barcelona, España Amazon A tiempo completo
About the Role

We are seeking a highly skilled Business Intelligence Solutions Developer to join our EU External Fulfillment (EF) Ops Excellence Team at Amazon. As a key member of our team, you will play a crucial role in driving cross-functional projects and programs to support the External Fulfilment organization.

Key Responsibilities
  1. Data Solution Development: Collaborate with cross-functional stakeholders to design, implement, and deliver complex Business Intelligence (BI) solutions for the External Fulfilment Network.
  2. Data Infrastructure Enhancement: Partner with Data Engineering to enhance data infrastructure and data availability during Prime/PEAK Events.
  3. Data Mining and Modeling: Use data mining and model building to create solutions for the growing analytical needs of the EF network.
  4. Project Management: Drive projects on data automation, governance, and standardization.
  5. Innovative Solutions: Develop innovative BI and data analytics solutions leveraging AWS Bedrock and generative AI to build intelligent knowledge bases and conversational interfaces for enhanced business insights and recommendations.
Requirements
  1. Experience in Data Analysis: Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  2. Data Visualization: Experience with data visualization using Tableau, Quicksight, or similar tools.
  3. Data Modeling and Warehousing: Experience with data modeling, warehousing, and building ETL pipelines.
  4. SQL and Scripting: Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
  5. Experience with AWS Services: Experience with AWS services Bedrock, Lambda, SQS.
Preferred Qualifications
  1. Master's Degree: Master's degree in BI, finance, engineering, statistics, computer science, mathematics, or equivalent quantitative field.
  2. Database Architecture: Experience in designing the database architecture for large-scale usage.

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