Senior Business Intelligence Engineer

3 days ago


Bellevue, Washington, United States Amazon Full time
About the Role

We are seeking a highly skilled Senior Business Intelligence Engineer to join our Amazon Luna team. As a key member of our team, you will be responsible for designing and developing analytical solutions to measure and report on Amazon Luna's impact areas.

Key Responsibilities
  • Architect and develop scalable and resilient data solutions for real-time and batch processing, enabling self-service business intelligence for analytics users.
  • Build ETL pipelines, statistical models, and machine learning solutions using large, multidimensional datasets to uncover trends, patterns, and opportunities.
  • Collaborate with product managers, engineers, data scientists, and business stakeholders to understand strategies, goals, and objectives, and align the analytics roadmap accordingly.
  • Design and implement end-to-end reporting solutions, metrics, dashboards, and automated processes to drive key business decisions and track progress.
  • Perform complex analyses to inform product strategy, design, and business priorities, presenting insights and recommendations to senior leadership.
  • Continuously improve reporting and processes, automating and scaling solutions while ensuring stability and performance.
  • Identify opportunities for new metrics, techniques, and strategies to enhance targeting, measurement, and overall product capabilities.
About the Team

Our team is passionate about data, engineering, and analytics, and we are committed to creating a culture of inclusion and diversity. We value work-life balance and offer flexible work arrangements to support our employees' well-being.

Basic Qualifications
  • 8+ 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 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
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
  • Experience with AWS technologies
Compensation

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.



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