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Key job responsibilities
• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, that will support the needs of the business.
• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complex data sets.
• Be hands-on with ETL to build data pipelines supporting automated reporting.
• Serve as liaison between the business and technical teams to provide actionable insights into current business performance, and ad hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.
• Build various data visualizations to tell the story of business trends, patterns, and outliers.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Berlin, BE, DEU
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- 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 writing complex SQL queries
- Experience in the data/BI space
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