Do you have relentless grit, a love for problem solving, high ownership, high learn and be curious, and some level of retail business experience (so absolutely everything isn’t a ramp, since we technically support all retail functions)? If so, this role is for you!

We are looking for an experienced Business Analyst who is excited about using data analysis and acquiring deep business expertise to answer difficult business questions that drive decision and action for the Amazon Fresh business. This role will focus on solving critical catalog defects in the US and will be responsible for analyzing all aspects of our business to provide insights that inform business strategy and solve complex problems.

Our team seeks to Invent and Simplify solutions that increase the speed and quality of decision-making through business analysis and reporting, econometric research and models, business process automation, and cloud computing infrastructure. Analytics is the first line of defense for analyzing acute business problems that inform or impact KPIs.

In this role, you must be comfortable dealing with ambiguity, be an effective communicator, and be organized. Our business moves rapidly, and it’s important to be able to adapt to the latest changes in the business, systems, tools, and techniques for extracting, processing, analyzing, modeling, and taking action on data. You will work directly with business stakeholders to define strategy and requirements, and then lead analyses from design through delivery.

Key job responsibilities
As a Business Analyst on our team, you will focus on exciting and challenging problems, including:
• Own the design, development, and maintenance of ongoing and ad-hoc metrics, reports, and analyses, to drive key business decisions
• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
• Partner with BIEs and Finance to scale automated solutions and collect stakeholder feedback to drive improvement over time
• Develop mechanisms and metrics to track stakeholder satisfaction and drive projects to continuously improve satisfaction scores
• Learn new technology and techniques such that you can meaningfully support product and process innovation
• Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, scripting, and visualizations
• Work closely with data engineering, product management, and business stakeholders to deliver features to customers