Business Analyst II, Seller Fees Science & Tech

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION :

Amazon is looking for an enthusiastic, hard-working, and creative candidate to join the Fee Operations team as a Business Analyst. This position offers an exciting introduction to the Amazon Marketplace and provides a training ground for success. You will be responsible for supporting Fee Strategy within key workstreams such as go to market and fee incentives,

driving reporting and solving challenging business goals. You will utilize data and develop creative processes to improve your team's performance. You will directly work with Fee Strategy, Product, Tech, Operations, and stakeholder teams to develop scalable, long-term solutions which will have a significant impact on Selling Partners and the respective support teams. Our environment is fast-paced, and requires someone who is a self-starter, detail-oriented, analytical, and comfortable working with multiple teams, partners, and management. The candidate should have a track record of delivering results, experience processing large amount of data and report generation & management. The candidate should be responsible for converting data into actionable business insights. They should be analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge and ensure data quality while building scalable tools. They communicate findings with the most effective and influential methods.

Key job responsibilities

• Define analytical approach; review and vet analytical approach with stakeholders
• Proactively and independently work with stakeholders to construct use cases and associated standardized outputs
• Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation
• Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis
• Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes
• Have the capability to handle large data sets in analysis through the use of additional tools
• Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes
• Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved
• Actively manage the timeline and deliverables of projects, focusing on interactions in the team

A day in the life

Please refer Key Job Responsibilities

About the team

Please refer Key Job Responsibilities

BASIC QUALIFICATIONS :

PREFERRED QUALIFICATIONS :

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