The ideal candidate will be entrepreneurial, thinking long-term, and have a passion for data, uncovering insights, and telling business stories to leaders and stakeholders through metrics and visualizations. You will be directly embedded in the business as a trusted partner informing strategy, tracking performance, and driving excellence.
This role demands a high capacity to learn and be curious as we need to be constantly adapting to changes in our business and thinking about how we can bridge ambiguous business problems to actionable reporting and metrics. This also involves being up to speed with relevant tools and systems to help enable rapid iteration. In this role, you will have the opportunity to work cross-functionally and innovate alongside talented Business Intelligence Engineers, Instock Managers, Operations and Category Program Managers, Product Managers, and Functional Leads.
Responsibilities include but are not limited to
- Design, develop, and maintain ongoing metrics, reports, analysis, dashboards on the key drivers of our business.
- Mine insights and use data to tell compelling business stories across topics such as supply chain, selection, customer demand insights, CX etc.
- Support in feature prioritization by engaging stakeholders in constructive dialogues, simplifying ambiguous business problems into logic problems that can be solved with data
- Flex your technical and business acumen to drive higher fidelity business decisions and operational excellence
- Learn new BI, Retail, and Ops systems such that you can meaningfully support process innovation using automation techniques.
- Design, develop, and implement scalable, automated processes for data extraction, processing, and analysis
Successful candidates will demonstrate the following:
- Have a passion for sourcing, manipulating, and visualizing data to tell business stories
- Maintain and become subject matter experts for reporting decks and dashboards that are used to manage a complex business.
- Voracious appetite to Learn and Be Curious and comfortable in a start-up environment
- Thrive off of ambiguity, coming up with innovative solutions to solve cross-functional business problems
- Ability to clearly communicate strategic findings and recommendations to a diverse audience
- Translate complex, technical concepts into business terms and vice versa
- Ability to create and follow efficient prioritization frameworks, balancing the macro and micro level needs of the business
- An interest in learning new domain areas and developing unique, non-traditional methods to drive invention
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
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.