Business Analyst, Amazon Relay

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Description Amazon Relay is looking for a Business Analyst that has a background in data analysis and creative problem-solving skills. In this role, the Business Analyst will work with stakeholders to build trust-based relationships to deliver timely, meaningful, and consumable data insights. This role will support the Relay Marketing team and will be responsible for a wide range of duties related to data extraction, analysis, reporting, and visualization. The role will focus on leveraging AI tools and automation to accelerate insight delivery. Key job responsibilities - Quickly understand data requirements, operational workflows, and reporting needs across multiple teams. - Extract, clean, and analyze operational and marketing data from internal systems (e.g., data warehouses, reporting tools, third-party platforms). - Identify trends, anomalies, and root causes in operational data; develop actionable recommendations and escalate findings to leadership. - Understand marketing benchmarks and deliver reports that outline goals and results. - Build and maintain reporting packages, dashboards, and visualizations that enable data-driven decision-making for leadership and cross-functional partners. - Leverage AI and automation to streamline reporting workflows, reduce manual effort, and continuously improve analytical processes. - Contact stakeholders globally to provide status reports, success metrics, communicate relevant information, and escalate when needed. - Perform regular audits and validation checks to maintain data integrity. About the team Amazon Relay is a freight hauling platform that connects carriers with Amazon loads. The Relay Marketing team drives carrier-facing communications, product launches, and engagement strategies that fuel carrier adoption and satisfaction. Basic Qualifications - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience in Excel or SQL - Experience using databases with a large-scale data set Preferred Qualifications - Experience with data visualization tools (like Tableau) and scripting languages (like R and Python) - Experience using hard data and metrics to back up assumptions and concepts - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences 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 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 . USA, GA, Atlanta - 55,800.00 - 97,600.00 USD annually USA, TN, Nashville - 50,200.00 - 87,900.00 USD annually USA, WA, Bellevue - 80,200.00 - 97,600.00 USD annually

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Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

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Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

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The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

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