Senior Business Analyst, Relay Trust

Amazon Amazon · Big Tech · Bellevue, WA · Business Intelligence

This role is for a Senior Business Analyst in Amazon's Middle Mile Transportation Technology (MMPT) organization, focusing on fraud prevention solutions. The role involves using machine learning algorithms, but the primary focus is on business analysis, data visualization, automation, and building BI solutions. The candidate will work with large datasets, develop automated data pipelines, and create self-serve analytics dashboards. While proficiency in Python/SQL is mentioned, the core of the role is business analysis and driving decision-making through data, not direct ML model development.

What you'd actually do

  1. Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
  2. Work with large and complex data sets to solve a wide array of challenging problems using different data management tools and analytical approaches
  3. Partner with Product, Program, Engineering, and cross-functional teams to understand data requirements and design scalable and user-friendly BI solutions influencing product and program strategy
  4. Identify and measure success of product and program efforts through continuous analysis, goal setting, and monitoring of key metrics to understand trends
  5. Build and maintain self-serve analytics: role-based dashboards, drill-downs, alerts, and definitions that make performance obvious at a glance

Skills

Required

  • writing SQL queries
  • creating business intelligence reports using Tableau, Power BI experience
  • Excel or Tableau (data manipulation, macros, charts and pivot tables) experience
  • defining requirements
  • using data and metrics to draw business insights
  • making business recommendations
  • influencing stakeholders

Nice to have

  • Master's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
  • Fluency in a scripting language such as Python or R
  • Strong background in statistics methodology, applications to business problems, and/or big data

What the JD emphasized

  • broad technical skills
  • advanced analytical
  • problem solving skills
  • sophisticated analytical modeling
  • Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required