Business Analyst, Financial Risk Mitigation

Amazon Amazon · Big Tech · Seattle, WA · Investigation & Loss Prevention

This Business Analyst role focuses on financial risk mitigation using machine learning and big data solutions. The responsibilities include reporting trends, identifying opportunities, creating optimization models, and ensuring data accuracy. While the role mentions ML and big data, the core function is business analysis and reporting, not direct AI/ML model development or deployment.

What you'd actually do

  1. Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines.
  2. Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the direction of the business.
  3. Create models that optimize the resources, inputs & outputs of risk operations business.
  4. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  5. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon's data resources and know how, when, and which to use and which not to use.

Skills

Required

  • 3+ years of tax, finance or a related analytical field experience
  • 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
  • 3+ years of business or financial analysis experience
  • Bachelor's degree or equivalent
  • Experience defining requirements and using data and metrics to draw business insights
  • Experience with Excel
  • Experience with SQL
  • Experience making business recommendations and influencing stakeholders

Nice to have

  • Bachelor's degree in business or analytical discipline

What the JD emphasized

  • solid analytical mindset
  • data-driven decisions
  • analyzing large amounts of data
  • excellent analytical abilities
  • advanced analytical, problem solving skills
  • business acumen
  • comfort with teams and systems
  • business insights and analytics
  • excellent communicators
  • self-motivated
  • flexible
  • hardworking
  • high level visibility
  • statistical rigor
  • business recommendations
  • data accuracy
  • data resources