Business Intelligence Engineer, EMXO PLX Analytics and Science Team

The EMXO PLX Analytics and Science team drives customer satisfaction and business growth by applying analytics and scientific methodologies to optimize the end-to-end customer experience across lifecycle marketing and social commerce. The team supports continuous improvement of programs enhances marketing effectiveness and develops innovative products and measurement solutions that help customers discover engage and progress throughout their journey with Amazon.

We are seeking a highly analytical and results-oriented individual contributor with a proven ability to work cross-functionally with internal and external stakeholders to solve complex business problems. The ideal candidate has a strong track record of generating actionable insights and translating data into evidence-based recommendations that inform strategic decisions and business priorities.

Success in this role requires strong problem-solving skills attention to detail and the ability to thrive in a fast-paced ambiguous environment while effectively managing multiple priorities. The candidate should demonstrate intellectual curiosity a passion for innovation and enthusiasm for leveraging new technologies and methodologies to improve decision-making. This role offers the opportunity to develop original analytical approaches scalable solutions and impactful recommendations in a dynamic and rapidly evolving business landscape.

Key job responsibilities
- Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership
- Share written recommendations and insights for key stakeholders that will help shape organizational strategic decisions and priorities
- Contribute to the design implementation and delivery of BI solutions for complex and ambiguous problems
- Simplify and automate reporting audits and other data-driven activities
- Partner with other BIEs to enhance data infrastructure data availability and broad access to customer insights
- Develop and drive best practices in data integrity consistency analysis validations and documentation
- Learn new technology and techniques to meaningfully support internal stakeholders and process innovation

- 5 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Knowledge of SQL and data warehousing concepts
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with forecasting and statistical analysis

- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- 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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