Business Intelligence Engineer, EU Prime and Marketing Analytics & Science (PRIMAS)

- Working on complex, loosely defined analytics problems and defining the team's Business Intelligence (BI) strategy — delivering independently and influencing the organization's BI architecture. - Providing analytics solutions for complex business problems; building analyses and solutions that are robust, extensible and scalable; communicating effectively with management audiences (narratives, inputs into Business Reviews); refining BI strategies that cross teams and making technical trade-offs for long- and short-term needs. - Designing and implementing technical solutions with an appropriate analytics strategy and data set design; understanding system limitations, scaling factors, boundary conditions, and the reasons for technical decisions. - Building and evaluating causal and treatment-effect models that produce conversion and valuation signals consumed by downstream bidding and budgeting systems. - Designing and running experiments and quasi-experiments (A/B, geo, holdout) to measure marketing incrementality, and developing measurement frameworks that quantify the true, platform-independent contribution of marketing over time. - Working with first- and third-party data to identify and target high-opportunity customer segments where standard platform optimization falls short. - Providing analyses, frameworks and solutions that inform multiple teams' business decisions and highlight new opportunities. - Driving best practices in operational excellence, data modelling, and analysis. BASIC QUALIFICATIONS - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in the data/BI space PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.