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- Tasks: Drive strategic analysis of marketplace quality initiatives and measure their economic impact.
- Company: Join Amazon, a global leader in e-commerce and innovation.
- Benefits: Enjoy flexible work options, competitive pay, and a vibrant company culture.
- Why this job: Make a real impact on customer experience and marketplace health while working with cutting-edge analytics.
- Qualifications: 3+ years in analytical roles, strong Excel skills, and proficiency in statistical analysis.
- Other info: Collaborate with diverse teams and leverage AI solutions for innovative insights.
The predicted salary is between 36000 - 60000 £ per year.
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 OPTANE\’s 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 team\’s decisions on Amazon\’s 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. You\’ll 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. You\’ll spend time creating visualizations and dashboards to communicate findings for upcoming business reviews. Between collaborative sessions, you\’ll 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!
BASIC QUALIFICATIONS
– 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
PREFERRED QUALIFICATIONS
– 3+ years’ experience in quantitative analysis roles
– Master\’s degree in related field
– Experience in e-commerce analytics
– Knowledge of causal inference
– Experience with Amazon\’s internal tools
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Business Analyst II, Order Performance, Trust, Analytics & Experiences (OPTANE) employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst II, Order Performance, Trust, Analytics & Experiences (OPTANE)
✨Tip Number 1
Familiarise yourself with Amazon's marketplace and its performance metrics. Understanding how seller performance impacts customer experience will help you articulate your insights during discussions.
✨Tip Number 2
Brush up on your data visualisation skills, especially with tools like Tableau. Being able to create compelling dashboards will be crucial in presenting your analyses effectively.
✨Tip Number 3
Network with current or former employees in similar roles. They can provide valuable insights into the team dynamics and expectations, which can help you tailor your approach.
✨Tip Number 4
Stay updated on the latest trends in e-commerce analytics and machine learning. Demonstrating knowledge in these areas can set you apart as a candidate who is forward-thinking and innovative.
We think you need these skills to ace Business Analyst II, Order Performance, Trust, Analytics & Experiences (OPTANE)
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and qualifications outlined in the job description. This will help you tailor your application to highlight relevant experiences.
Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the Business Analyst II position. Emphasise your analytical skills, experience with data visualisation tools, and any relevant financial analysis work.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the specific requirements of the role. Highlight your experience in strategic business impact analysis and your proficiency in statistical analysis and modelling.
Showcase Relevant Projects: In your application, include examples of past projects where you successfully used data to drive business decisions. Mention any experience with machine learning or automation improvements, as these are relevant to the role.
How to prepare for a job interview at Amazon
✨Understand the Role
Make sure you have a solid grasp of what the Business Analyst II position entails. Familiarise yourself with key responsibilities like strategic business impact analysis and marketplace health measurement, as well as the specific tools and methodologies mentioned in the job description.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with data analysis, particularly in relation to Excel, SQL, and any statistical modelling tools you've used. Be ready to provide examples of how you've translated complex data into actionable insights that influenced business decisions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think about past experiences where you had to develop business cases or analyse performance metrics. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Demonstrate Collaboration Skills
Since the role involves working closely with various teams, be prepared to discuss how you've successfully collaborated with others in previous roles. Highlight any experience you have in cross-functional projects, especially those involving finance, data science, or economics.
