Amazon
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You will work with program managers and leaders who use your work to make cost decisions.
The COST (Cost Optimization, Strategy, and Technology) team within Ops Tech Solutions (OTS) Delivery is seeking a Business Intelligence Engineer to build and own the data products behind its cost work. The COST team delivers cost visibility, savings governance, and free cash flow improvement across a global RME and IT Operations cost base.
Within COST, our team finds savings opportunities, checks whether savings are real, and gives leaders the cost reporting and comparisons they use to make decisions.
You will work with program managers and leaders who use your work to make cost decisions. You take data from our shared data platform and turn it into dashboards, datasets and analysis that people can trust. We use generative AI day to day, alongside SQL and dashboards.
Build and own dashboards, datasets and reporting that leaders use to understand and manage cost
Analyze spend data to find trends, anomalies and savings opportunities, and explain what you find to non-technical audiences
Build the data and checks that show whether savings have actually been delivered
Automate the team's own manual work, including with generative AI tools, so program managers spend less time on reporting
Work to the team's priorities, and say early when you think a different piece of work would matter more
Validate your outputs against source data and business logic, and fix issues at the cause
Document your products so others on the team can run them
Work with engineering partners on data sources and data quality
A day in the life
No two days are the same. You might check a data refresh, work with a program manager on whether a spend change is a real cost signal, build a new view for a leadership review, or work through a data issue with an engineering partner. Travel up to 10%.
We are a small team of program managers and BI, based in Europe and part of OTS Delivery. We work closely with the team that owns our data platform and delivers technical programs, and we document our work so anyone on the team can pick it up.
Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
Master's degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
Experience working with finance or spend data, such as purchase orders, general ledger or cost center data
Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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