Business Intelligence Engineer III, IES Shopping - Analytics and Science Team (AST)
Business Intelligence Engineer III, IES Shopping - Analytics and Science Team (AST)
Posted on :
19-06-2025
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1 Vacancy
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Job Description
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.
Key job responsibilities
- 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
- 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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