Business Intelligence Engineer , ADAT Espinho

Business Intelligence Engineer , ADAT
Espinho
Espinho, Aveiro District, Portugal

Are you interested in a
- impact role with exposure to senior leaders? The EU Process & Systems Engineering (PSE) Team is seeking a
- focused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement, innovation, and execution in Fulfillment Center Operations. Collaborating closely with Amazon Operations and data teams, you will be responsible for developing analytics dashboards,
- dive tools, and influencing product roadmaps using data, AWS services, and other insights sources.

Key job responsibilities

1. Translate customer and business opportunities into innovative BI solutions, and demonstrate a passion for working with extensive datasets to drive
   - driven decisions and build models that address critical questions for our stakeholders.
2. Manage intake, coordinate and gather requirements from business partners to handle increased data volume and the demand for more
   - efficient and scalable data pipelines and tech solutions.
3. Prioritize initiatives, design and implement technical solutions with appropriate strategies and design principles.
4. Identify, design, and create data pipelines to feed BI tools and dashboards.
5. Identify and develop metrics and KPIs, and translate them into insightful dashboards using BI tools (i. e. Quick
   Sight).
6. Data Warehousing & Data Engineering skills using AWS Services (S3, AWS Glue, Redshift, Lambda). API Data Ingestion.
7. Proficiency in SQL, Python (Java nice to have).

Minimum Qualifications

1. Experience in the data/BI space.
2. Experience with data visualization using Tableau, Quicksight, or similar tools.
3. Experience in analyzing and interpreting data with Redshift, Oracle, No
   SQL etc.
4. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
5. Experience with data modeling, warehousing and building ETL pipelines.
6. Experience with AWS solutions such as EC2, Dynamo
   DB, S3, and Redshift.
7. Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business.
8. Experience in data mining, ETL, etc. and using databases in a business environment with
   - scale, complex datasets.
9. Experience in Statistical Analysis packages such as R, SAS and Matlab.
10. Experience writing complex SQL queries.

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