Senior Business Intelligence Engineer

1 week ago


Nashville, Tennessee, United States Amazon Full time
About the Role

Amazon Inbound Transportation is seeking a highly skilled Senior Business Intelligence Engineer to join our team. As a key member of our organization, you will be responsible for leveraging data to drive business decisions and improve customer experience.

The ideal candidate will have a strong background in data analysis, business intelligence, and transportation optimization. You will work closely with various teams to define, develop, and manage the cross-functional strategy for U.S. domestic inbound transportation.

Key Responsibilities
  • Develop and lead the design and execution of reporting solutions for Inbound Transportation
  • Collaborate with product managers, data engineers, data scientists, and software engineers to define reporting needs
  • Build self-service tools and dashboards that provide aggregated metrics and granular data for defect verification, customer communication, and deep-dives
  • Perform deep-dives and data analysis, providing recommendations on new metrics or business decisions
  • Mentor teammates, provide inputs in team and org-level strategic planning, and lead cross-org discussions
A Day in the Life

As a Senior Business Intelligence Engineer at Amazon, you will have the opportunity to work on a wide range of projects, from developing reporting solutions to collaborating with cross-functional teams. You will be responsible for analyzing large data sets, building data pipelines, and automating solutions to drive business decisions.

Our team is passionate about leveraging data to drive business outcomes, and we are looking for someone who shares this passion. If you are a data-driven decision maker with a strong background in business intelligence and transportation optimization, we encourage you to apply.

What We Offer

Amazon offers a comprehensive benefits package, including medical, dental, and vision coverage, maternity and parental leave options, paid time off, and a 401(k) plan. We also offer a range of professional development opportunities, including training and education programs.

Our compensation reflects the cost of labor across several US geographic markets, and we offer a total compensation package that includes equity, sign-on payments, and other forms of compensation. For more information, please visit our website.

Basic Qualifications
  • 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
Preferred Qualifications
  • Master's degree in statistics, data science, or an equivalent quantitative field
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing, and communicating results to senior leadership


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