Business Analyst 2, Relay Fleet Tech

The Relay Fleet Tech organization in Middle Mile Transportation Technology (MMPT) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers. We hold high standards for our solutions and the services we deliver: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale and delivering industry leading precision; our employees are intelligent, passionate about protecting Customers, and fun to work with. Amazon is seeking an exemplary Business Analyst with broad technical skills to develop in-depth business understanding, perform deep-dives, develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem‑solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self‑motivated, flexible, hardworking, and who like to have fun. The complexity of research and skills for a (Senior) Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL and/or other similar coding languages. Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required for a successfully candidate. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression. Key job responsibilities Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Work with large and complex data sets to solve a wide array of challenging problems using different data management tools and analytical approaches Partner with Product, Program, Engineering, and cross‑functional teams to understand data requirements and design scalable and user‑friendly BI solutions influencing product and program strategy Identify and measure success of product and program efforts through continuous analysis, goal setting, and monitoring of key metrics to understand trends Build and maintain self‑serve analytics: role‑based dashboards, drill‑downs, alerts, and definitions that make performance obvious at a glance Identify key performance drivers, quantify their impact on critical metrics, and deliver actionable recommendations Mentor junior analysts in analytical techniques and problem‑solving methodologies Basic Qualifications 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Bachelor's degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with Excel Experience with SQL Experience making business recommendations and influencing stakeholders Preferred Qualifications Bachelor's degree in business or analytical discipline 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. 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. #J-18808-Ljbffr