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. Key job responsibilities - 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%. About the team 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 with SQL - 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 - Experience with statistical analysis, co-relation analysis - 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.
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