Are you interested in diving deep into data and engineering the metrics model that drives continuous improvement for Amazon’s global delivery operations? Do you have solid problem solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need? Then Middle Mile Technology is the team for you. We are part of building the world's fastest, most reliable, and lowest cost transportation network that provides customers the most control and are looking for a top notch Senior Business Intelligence Engineer.

As an Amazon Senior Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of datasets at scale. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should excel at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change.

Key job responsibilities
KEY RESPONSIBILITIES
- Design automated solutions for recurrent reporting (daily/weekly/monthly).
- Design automated processes for in-depth analysis.
- Design automated data control processes.
- Collaborate with the software development teams to build solutions.
- Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators.
- Improve tools and processes, scale existing solutions, and create new solutions as required based on stakeholder needs.
- Participate in annual budgeting and forecasting efforts.
- Perform monthly variance analysis and identify opportunities.