Business Analyst II, Order Performance, Trust, Analytics & Experiences (OPTANE)

The Order Performance Trust Analytics & Experiences (OPTANE) team seeks a Business Analyst to drive strategic economic impact analysis of our marketplace quality initiatives. In this role you will quantify how OPTANEs seller performance standards enforcement actions and trust-building mechanisms/initiatives create business value through improved customer experience reduced defect rates and enhanced marketplace health. Working directly with the Senior Program Manager you will develop scalable frameworks to measure and communicate the impact of our teams decisions on Amazons marketplace performance and seller ecosystem. Your role will focus on translating complex operational metrics into clear economic value propositions enabling data-driven decision-making at all levels of the organization.

Key job responsibilities
Strategic Business Impact Analysis & Investment Planning

* Support P&L impact analysis of Order Performance initiatives connecting seller performance metrics to business outcomes
* Assist in developing business cases and scenario models for strategic investments
* Help create executive-ready analyses translating operational metrics into clear financial narratives

Trust & Performance Analytics

* Develop attribution and predictive models connecting seller performance to customer behavior metrics
* Analyze relationships between performance standards and customer confidence across seller segments and regions
* Support development of risk assessment and opportunity sizing frameworks for policy changes and enforcement strategies

Marketplace Health Measurement

* Help implement measurement frameworks for evaluating performance standards impact on marketplace health (revenue selection)
* Analyze economic trade-offs between immediate metrics and long-term sustainability
* Measure effectiveness of seller improvement programs through data-driven analysis

Impact Measurement Framework Development

* Support development of self-serve measurement tools for OPTANE teams
* Help create automated valuation models that scale with business needs
* Contribute to documentation and knowledge transfer systems
* Assist in implementing Gen AI and machine learning solutions for opportunity identification

A day in the life
Your day typically begins with the team standup where you align on key analytics priorities and ongoing projects. The morning might continue with deep-dive analytical sessions to study marketplace performance data and build impact models. Youll collaborate with the Economics team to analyze patterns between seller metrics and customer behavior working together to identify key trends and insights. Your day includes partnering with Finance teams to develop business impact assessments and with Data Science teams to build and refine prediction models. Youll spend time creating visualizations and dashboards to communicate findings for upcoming business reviews. Between collaborative sessions youll focus on documenting analysis methodologies and updating measurement frameworks. You might connect with global teams to incorporate regional perspectives into your analysis then wrap up by working on automation improvements before heading out to enjoy your evening!

- 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
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Strong proficiency in statistical analysis and modeling (R Python)
- Experience with regression analysis and correlation modeling
- Knowledge of financial modeling and P&L analysis
- Familiarity with machine learning concepts
- Proficiency in SQL and database querying

- 3 years experience in quantitative analysis roles
- Masters degree in related field
- Experience in e-commerce analytics
- Knowledge of causal inference
- Experience with Amazons internal tools

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