Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics or a related discipline.3+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments.3+ years of experience with Amazon QuickSight, Tableau Desktop or other relevant data visualization software.3+ years of experience in data mining and/or data-set preparation using SQL.Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environment.Be self-driven, detail-oriented, and show ability to deliver on ambiguous projects with incomplete or dirty data.Proficient with Python or other relevant scripting language.Job SummaryHere's where you come in: We are looking for a talented EU WFS Business Intel Engineer to help manage our ever-growing data & reporting needs and support analytics of an increasingly complex business related to Workforce Staffing (WFS) across the EU. As a Business Intelligence Engineer, you will generate insights that will guide operational excellence and business strategy for our customers. Data analysis is at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for our organization. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. You will have the opportunity to work with large and diverse data sets to gather insights using data from across Amazon Operations.Main ResponsibilitiesBe part of a high performing team of Business Intelligence Engineers.Constantly challenge the status quo and propose alternative solutions to drive efficiency.Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.Be hands-on with ETL to build data pipelines to support 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.Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.Ability to travel; 10%+ travel expected.5+ years of experience in a data engineer or BIE role with a technology company.Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams, and senior management as required.Familiarity with Amazon's AWS services including Glue, EC2, S3, and Redshift.Experience working in large data warehouse environments.
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