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Form of work
Salary- 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
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 Amazon Fresh 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
Our mission is to perfect the art of grocery experience, from buying to vendor performance, optimizing DC operations, and nurturing vital relationships with key distributor partners. At the Grocery Retail Inbound Team (GRIT), we are the driving force behind Amazon Fresh Grocery's unparalleled supply chain success. Being on our team means being part of a team that orchestrates the seamless flow of goods, ensuring that our customers can find what they need when they need it.
We're not just focused on perfect execution; we're involved in the long-term planning of our DC topology, sourcing strategy, and vendor partnerships. Join us at GRIT, and you'll have the opportunity to influence the planning of our network, collaborate with tech to build innovative supply chain solutions, and work with top manufacturers to optimize our supply chain. If you're ready to be part of a team that defines the future of grocery supply chain, then GRIT is the place for you. Join us, and let's build something extraordinary together.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Austin, TX, USA | Chicago, IL, USA | Nashville, TN, USA | New York, NY, USA | Santa Monica, CA, USA | Seattle, WA, USA
- 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).
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $59,500/year in our lowest geographic market up to $143,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.
