Business Intelligence Engineer, Customer Behavior Analytics

Amazon • Seattle, WA

1d • Onsite

About The Position

This role is centered on explaining and predicting customer visit data, a critical input for Amazon. The team aims to model and test assumptions about customer incentives and influences on their choice to visit Amazon, ultimately seeking to understand and predict customer interaction and identify insights to optimize the customer experience. This position is part of an analytics team comprising economists, scientists, business intelligence professionals, and data engineers, bridging observational measurement with theoretical models. The team is supported by experienced software and data engineers focused on measuring and explaining customer experience, and collaborates with the Economist and Science community in CBA and Stores for consultation and peer reviews. The analytics team is empowered to quickly gather necessary data. The parent organization manages end-to-end data collection systems (Clickstream), experimentation (Weblab), and customer value forecasting (GCCP), working across organizational boundaries to identify relevant datasets and curate vast amounts of data into meaningful business reporting and analysis.

Requirements

• 10+ years of professional or military experience
• 5+ years of SQL experience
• 1+ years of SQL, ETL or Oracle experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• 1+ years of developing automated reporting 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

Nice To Haves

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
• Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed