![]() The interviewer will ask you questions about your background and experience. The initial screen is mostly a discovery interview to determine if you are a good fit for the culture and the company. Typically, interviews at Amazon vary by role and team, but commonly Business Intelligence interviews follow a fairly standardized process across these question topics. The Amazon business intelligence interview is similar to most other technical interviews at Amazon, consisting of two initial phone interviews followed by an onsite interview. Develop new and innovative analysis techniques to maximize customer engagement to inform product strategy and design. ![]() Design experiments (A/B experimentation) to test customer-engagement strategies.ĪmazonFresh / Prime Now Customer Insights & Analytics: Use data to help Amazon better understand customers’ behavior. Prime Video (Catalog Systems and Operations organization): Define useful business metrics, develop a self-service reporting program, and conduct experiments that can inform decisions about Amazon Prime’s Video Catalog structure.Īlexa: Use Alexa’s data source to define and automate key business metrics and leverage advanced data analytics to understand customer behavior. Partner with software engineer teams to streamline or automate this business intelligence process. Mine data, gather customer insights, make recommendations, and help leaders make sound business decisions based on trends in data. Logistics Business Intelligence and Analytics: Work with one of the world’s largest and most complex data warehouses. Work closely with Amazon’s internal customers (such as the software development team) to test and validate these tools at scale. ![]() Collaborate with business and finance teams to improve Amazon’s decision-making processes.Īutomated Inventory Management: Develop analytics and prediction tools to quantify every Amazon customer’s shopping experience accurately. Use probabilistic models and Amazon’s technological infrastructure to display the offerings to customers in real-time.Īmazon Care: Develop data-driven models to shape the future of Amazon Care. Payment: Leverage huge amounts of customers’ payment data to improve the payment experience for customers. Use predictive ML models to search for safety-related trends in the data. Transportation Risk & Compliance (TRC): Meticulously analyze data to find ways to keep Amazon’s customers and partners safe according to safety compliance protocols. They work within teams and alongside Amazon’s internal clients to provide accurate and accessible data that supports critical business processes.īased on the teams assigned, Business Intelligence Engineers may perform functions such as: Business Intelligence Engineers design software and corporate platforms to do exactly this, making it easier to draw meaningful conclusions from Amazon’s collected data. Therefore, it is crucial for Amazon to efficiently process and analyze the huge amounts of corporate data it receives. Likely when going through the business intelligence interview, you’ll be interviewing in any one of these teams.Īmazon is large enough to boast of over 40 departments with more than 100 internal teams within these departments. Most of my work was around Tableau reporting, building ETL jobs, and figuring out what kind of data needed to be in the reporting databases so that your end reports work well.” “I ended up learning how to convert Python code to PySpark and then moved over to Amazon as a business intelligence engineer. Here is what Amazon business intelligence engineers do: Interview Query talked with an Amazon BI engineer about his job role and responsibilities. The roles of this position range from implementing solutions through data modeling to guiding business leaders. The solutions created by these engineers assist in the analysis, automation, and reporting of both internal and external client data.įrequently, Amazon engineers are embedded within teams and work cross-functionally with other teams, aiming to improve the overall customer experience. At Amazon, business intelligence engineers work with clients, analysts, and database developers to translate collected data into business decisions.
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