Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Job Location: Candidate can opt for Austin, TX, Chicago, IL, Irvine, CA, Santa Monica, CA, Nashville, TN, Arlington, VA, Seattle, WA, New York, NY)

Love food? Interested in shaping the future of Amazon Fresh Inbound Supply Chain? Amazon Fresh Vendor Inbound Excellence Team is seeking a Business Analyst who is excited about translating complex business problems into simple, actionable, and scalable solutions. To be successful in this role, you must have a high capacity for Learn and Be Curious, 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 projects from design through delivery.

Key job responsibilities

As a Business Analyst on the Vendor Inbound Excellence team, you will focus on exciting and challenging problems, including:

• Translate business problem statements into reports that answer customer questions
• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
• Influence and implement the team's approach to data
• Learn new technology and techniques such that you can meaningfully support product and process innovation
• Have in-depth knowledge of the data available and how to collect it; periodically identify more advanced methods of query optimization
• Utilize basic data-manipulation tools and cross-check data to determine accuracy
• Convert data to information through basic descriptions, aggregations, and pivots
• Implement/deploy data visualization or communication tools (e.g., metrics dashboards, decks, flashes)
• Share data with stakeholders to inform business decisions
• Manage expectations; prioritize own workload and communicate status

Basic Qualifications

• Bachelor’s degree in Business, Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science, or related field or equivalent experience
• 5+ years of years of relevant experience working with data and analytics
• Excellent communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses, actionable insights, and effective tools
• Highly proficient with SQL to process complex datasets from multiple sources and have experience with data analytics
• Highly proficient using at least one data visualization product (Tableau, Looker, Amazon QuickSight, etc.)
• Proven problem solving skills, project management skills, attention to detail, and exceptional organizational skills
• Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner

Preferred Qualifications

• Master’s degree in Business, Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science, or related field or equivalent experience
• 6+ years of years of relevant experience working with data and applied analytics
• Prior experience in Retail, Consumables, and/or Supply Chain Management industry
• Proficient in a programming language (e.g., Python) for automation of data extraction, processing, and computation
• Experience working with AWS products and environment (Redshift, QuickSight, S3, etc).