Business Analyst, Amazon Relay
About the role
Amazon Relay is looking for a Business Analyst with a background in data analysis and creative problem-solving. In this role, the Business Analyst will collaborate with stakeholders to build trust-based relationships and deliver timely, meaningful, and consumable data insights. This position supports the Relay Marketing team and is responsible for data extraction, analysis, reporting, and visualization, with a focus on leveraging AI tools and automation to accelerate insight delivery.
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.
Requirements
- 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).
- Ability to use 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.
Pay
Base salary ranges by location:
- USA, GA, Atlanta: $55,800 – $97,600 annually
- USA, TN, Nashville: $50,200 – $87,900 annually
- USA, WA, Bellevue: $80,200 – $97,600 annually