Amazon Sr Business Intelligence Engineer SPS Finance Insights & Analytics 

United States, Washington, Seattle 

802293530

As a Senior Business Intelligence Engineer with SPS Finance, you will work with our Finance and Tech team to create automated and scalable analytical tools, provide insights, and drive improved decision making. You will work with finance, business, and tech to gain input and deliver tools that meet our customer needs. You will empower data driven decision making through implementing principles of data mining, Machine Learning, data modelling and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract, integrate and work on critical data to build out data pipelines, automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders. This includes building the infrastructure for regular reporting on business performance, deep diving financial processes and systems across Consumer, and writing the logic for accuracy metrics and opportunity valuation.Key job responsibilities
- Own and develop queries and data visualizations for ad-hoc, recurring, troubleshooting requests and projects, as well as for ongoing reporting by leveraging SQL, Redshift, Quicksight, and Tableau skillsets
- Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
- Interface with business customers to gather data and metrics requirements, then driving analytic projects which will help solve complex challenges

- 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