Business Intelligence Engineer, Operations Risk and Compliance Analytics
Amazon
- Luxemburg
- Unbefristet
- Vollzeit
- You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions. You are analytical and creative, and you don’t quit. You will also have the opportunity to display your skills in the following areas:
- Architect, design, implement, and support a platform providing secured access to large datasets.
- Interface with technical and non-technical customers delivering complete BI solutions.
- Model data and metadata to support ad-hoc and pre-built reporting.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Analyze and solve problems at their root, stepping back to understand the broader context.
- Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.
- Respond to high priority requests from senior business leaders.
- Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets
- Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations.
- Ability to clearly articulate assumptions, methodologies, results, and implications.
- Able to present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding.
- Design and implement metrics to measure the success and effectiveness of classification models by understanding the nuances and potential pitfalls.
- Use visualization tools and develop data pipelines to publish the metrics to internal and external stake holders
- Implementation of various sampling techniques with the ability to handle issues arising from sampling, like sampling biases.
- Able to do statistical tests like hypothesis testing, including parametric and non-parametric tests and is familiar with A/B testing,
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- 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 with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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