Sr Business Intelligence Engineer, FBA Analytics

AmazonBellevue, WA
$130,400 - $176,300Onsite

About The Position

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Multiple Sellers in various countries ship billions of products for sale on the Amazon Marketplace. To meet our sellers’ needs, we are constantly innovating and building on new ideas. Fulfillment by Amazon (FBA) analytics and data science team partners with product team to optimize inbound supply chain by influencing right tradeoffs among cost, speed and network capacity utilization. FBA Analytics team is looking for an individual with excellent analysis and statistical skills, deep knowledge of business intelligence solutions, and the ability to work with product development, and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail. In this critical role, you'll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions. In this critical role, you'll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions.

Requirements

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

Responsibilities

  • Deep dive into data to uncover actionable insights.
  • Create robust reporting to increase visibility into the metrics and data.
  • Partner with key stakeholders to enable data driven decision making.
  • Partner with data engineers to build data pipeline and standardize data transformation logic.
  • Design and implement scalable self-service dashboards to enable business users get answer frequently asked business questions in self service fashion.
  • Apply statistical techniques to infer impact of product and policy decisions on business outcomes.

Benefits

  • relocation support
  • sign-on payments
  • restricted stock units (RSUs)
  • 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
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