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Business Intelligence Data Analyst, Amazon Deals

vor 2 Monaten


Berlin, Berlin, Deutschland Amazon Development Center Germany GmbH Vollzeit
About the Role

We are seeking a highly skilled Business Intelligence Engineer to join our team at Amazon Deals. As a Business Intelligence Engineer, you will play a key role in designing, implementing, and delivering Business Intelligence solutions that drive business growth and success.

Key Responsibilities
  • Design and Develop Business Intelligence Solutions: You will design and develop scalable, automated, and user-friendly systems, reports, and dashboards that support the needs of the business.
  • Apply Analytic and Business Intelligence Skills: You will apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complex data sets.
  • Build Data Pipelines and Visualizations: You will build data pipelines using ETL to support automated reporting and create various data visualizations to tell the story of business trends, patterns, and outliers.
  • Collaborate with Cross-Functional Teams: You will serve as a liaison between the business and technical teams to provide actionable insights into current business performance and support future improvements or innovations.
  • Recognize and Adopt Best Practices: You will recognize and adopt best practices in reporting and analysis, including data integrity, test design, analysis, validation, and documentation.
About the Team

We are a diverse and inclusive team that values knowledge sharing and promotes career choice. We are committed to furthering our culture of inclusion and actively recruit people from diverse backgrounds to build a supportive and inclusive workplace.

We offer a range of benefits to support the needs of our diverse workforce and their family members, including mentorship and pathways for ongoing development.

Requirements
  • Experience in Analyzing and Interpreting Data: You should have experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  • Experience with Data Visualization: You should have experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience with Data Modeling and Warehousing: You should have experience with data modeling, warehousing, and building ETL pipelines.
  • Experience with Statistical Analysis: You should have experience with statistical analysis packages such as R, SAS, and Matlab.
  • Experience with SQL and Scripting: You should have experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
  • Experience with Complex SQL Queries: You should have experience writing complex SQL queries.
  • Experience in the Data/BI Space: You should have experience in the data/BI space.
Preferred Qualifications
  • Experience with AWS Solutions: You should have experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
  • Experience in Data Mining and ETL: You should have experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.