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Key job responsibilities
- Design automated processes for in-depth analysis databases.
- Design automated data control processes.
- Improve tools, processes, scale existing solutions, create new solutions as required based on stakeholder needs.- Participate in annual budgeting and forecasting efforts.
- Perform monthly variance analysis and identify risks & opportunities.
A day in the life
Work with the largest dataset in logistics management in the world to drive business insights, support operations and build analytical solutions for partners which can help drive cost control and decision making. As a Business Intelligence Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable reporting solutions to integrate with multi heterogeneous data sources to retrieve, curate & aggregate data that can be used in reporting, analysis, ML models, GenBI and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies.
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience building measures and metrics, and developing reporting solutions
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience in discovering business requirements and creating insightful dashboards tailored for various levels of the organization, including senior leadership.
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