Business Intelligence Engineer III, IES Shopping

We are looking for a dynamic, self-starter Senior BIE for IES Shopping Analytics and Science Team (AST) to guide Amazon Bazaar program in India with analytics and data-driven insights. You will be working in one of the worlds largest and most complex data warehouse environments. You must have a track record of churning out insights and make actionable recommendations to audiences of varying technical aptitude that directly impact organizational strategic decisions and priorities. Being able to thrive in an ambiguous, fast-moving environment and prioritizing work is essential, as is a mind for innovation and learning through rapidly evolving and new technologies. This role provides an opportunity to develop original ideas, approaches, and solutions in a competitive and ever-changing business climate.


Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership
Share written recommendations and insights for key stakeholders that will help shape organizational strategic decisions and priorities
Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
Simplify and automate reporting, audits, and other data-driven activities
Partner with other BIEs to enhance data infrastructure, data availability, and broad access to customer insights
Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation
Learn new technology and techniques to meaningfully support internal stakeholders and process innovation

About the team
IES Shopping Analytics and Science Team (AST) has a vision to embed a data culture deeply in our IES Shopping Experience organization, fostering invention through insights, and building a robust data architecture to support business needs. We spin the insights flywheel by growing a pool of bar-raisers and diverse data professionals, which empowers us to continuously enhance our data capabilities, holistically covering disciplines of Data Engineering, Business Intelligence, Analytics, and Machine Learning. 10+ years of professional or military experience
8+ years of SQL experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership Experience working as a BIE in a technology company
Experience with AWS technologies
Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.