Business Intelligence Engineer, Smart Shopping Experience
Share
Job Location:
Monthly Salary:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Smart Shopping Experience (SSE) 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.
We are looking for a candidate that demonstrated success working cross-functionally across internal and external teams. This candidate must have a track record of churning out actionable insights and make data backed recommendations 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 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
- 5 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Knowledge of SQL and data warehousing concepts
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience with forecasting and statistical analysis
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- 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
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.
We are looking for a candidate that demonstrated success working cross-functionally across internal and external teams. This candidate must have a track record of churning out actionable insights and make data backed recommendations 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 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
- 5 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Knowledge of SQL and data warehousing concepts
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience with forecasting and statistical analysis
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- 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
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.
Required Experience:
IC
Key Skills
- Business Intelligence
- Cognos
- SQL
- Power BI
- QlikView
- Data Visualization
- ssrs
- Tableau
- SSIS
- Data Modeling
- Data Warehouse
- Data Analysis Skills
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
