- 7+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience
- 5+ years of business or financial analysis, product costing, procurement, or a quantitative role experience
- 5+ years of communicating technical concepts to a non-technical audience and presenting to senior leadership
- Advanced proficiency in Excel for complex data analysis and modeling
- Expert-level knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
- Extensive experience designing and building automated reporting systems, interactive dashboards, and self-service analytics solutions using business intelligence and visualization tools including QuickSight and Tableau
- Demonstrated ability to leverage AI tools and generative AI capabilities to enhance analytics and reporting
- Degree in Business, Analytics, Statistics, Economics, or related quantitative field or equivalent experience
- MBA
- Experience in commodity markets, including market analysis, pricing trends, and supply chain dynamics
- Background in merchandising, sourcing, or consulting with demonstrated ability to translate business needs into analytical solutions and drive strategic initiatives
- Experience in data mining and working with large-scale, complex datasets in a business environment
- Proven track record of building scalable, automated analytics solutions that enable self-service reporting across organizations
- Experience leading analytics projects that drive measurable business impact and influence executive decision-making
- Strong stakeholder management skills with ability to influence and align cross-functional teams around data-driven strategies
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 118,200.00 - 160,000.00 USD annually
We're seeking a Sr. Business Intelligence Analyst to empower our Supplier Engagement team with data-driven insights and automated analytics solutions. The ideal candidate combines expertise in business intelligence, data visualization, and strategic analysis with strong business acumen, enabling them to transform complex commodities, merchandising, and negotiation data into actionable strategies. This role requires the ability to build self-service reporting tools using Amazon AI capabilities, partner across functions with Merchandising and Negotiation Manager teams, and communicate effectively with stakeholders at all levels. You will leverage analytical methods and AI-powered tools to uncover and interpret data, with the goal of optimizing supplier relationships, enhancing merchandising performance, and driving category growth.
Key job responsibilities
• Develop and maintain automated reporting systems and dashboards using QuickSight, Tableau, and other BI tools that enable comprehensive analysis of supplier performance, market trends, and category opportunities across merchandising and negotiation functions
• Build automated negotiation tools, interactive dashboards, and self-service reporting solutions that support joint business planning and category reviews, empowering teams to independently access and act on critical supplier and category performance data
• Leverage Amazon AI tools ( Bedrock applications, and other generative AI capabilities) to enhance data reporting and analysis, creating intelligent insights that identify revenue opportunities and optimize merchandising strategies
• Conduct data-driven analysis of commodity markets, supplier performance, and category trends using advanced SQL and BI tools to derive key insights and actionable recommendations that improve merchandising business outcomes
• Partner with Merchandising and Negotiation Manager teams to shape the analytics strategy, communicate complex findings through clear visualizations and executive presentations, and drive data-informed decisions that align stakeholders around business objectives
• Lead cross-functional analytics initiatives that improve business processes, optimize supplier negotiations, and enhance category management effectiveness
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