Business Intelligence Engineer, Treasury IPAT

Craving the small company feel but love the big problem statements? This role might be the answer! Big company, big problem statements but a small incubator-like team of 7 solving some of the biggest cash challenges and helping Amazon Treasury to scale. We work daily with Amazon's Global Cash Management, Liquidity and Bank Relationship Management, Capital Markets and Investments, M&A, and Treasury Business Partner teams to design and implement innovative Business Intelligence solutions that enhance our understanding of treasury dynamics. We were early adopters of machine learning and artificial intelligence and continue to expand our use and build new tools in this space for customers, pushing the treasury discipline to new heights. We have strong partners in FinTech, Tax, Accounting and Legal - we are truly that team of agile builders. If the Amazon principles speak to you, and you're looking to be a part of something special to transform the treasury space, this is the role for you.

Key job responsibilities:

• You will be part of a small team of Business Intelligence Engineers that will deliver on the data visualization vision for Amazon Treasury.
• Deliver, iteratively, new dashboard and analytics products for treasury customers via standard 2-week sprint cycles.
• Maintain existing set of dashboards inclusive of tier1 executive cash reports, global liquidity Machine Learning (ML) based forecast, and those to support liquidity optimization.
• Collaborate with cross-functional teams to identify financial trends and deliver data driven strategies.
• Create compelling dashboards and reports using advanced data visualization tools to inform executive decisions.

About the team: Treasury Insights, Planning and Analytics team drives Day1 decision making across Treasury by leveraging innovation, strategic insights, and cutting-edge technologies, enhancing financial efficiency and delivering exceptional value to stakeholders. We work with data source providers and technology teams to ensure that key decision data is accurate, automated, and inspected regularly in a world class manner.