Business Intelligence Engineer I, Retail Business Service Data Engineering Team
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Retail Business Services (RBS) supports Amazons Retail business growth WW through three core tasks. These are (a) Selection where RBS sources creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams.
Our team of high caliber software developers applied scientists data engineers product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that we identify & fix the right catalog defect to ensure the good shopping experience for our customers.
We are looking for a customer-obsessed Business Intel Engineer that thrives in a culture of data-driven decision making who will be responsible to help us hold a high bar for RBS Data Engineering Team
Key job responsibilities
This individual will be responsible for driving/creating:
- Experience working with large multi-dimensional datasets from multiple sources
- Make recommendations for new metrics techniques and strategies to improve the operational and quality metrics.
- Proficient using at least one data visualisation product (Tableau Qlik Amazon QuickSight Power BI etc.)
- Building new Python utilities and maintaining existing ones
- Enabling more efficient adhoc queries & analysis
- Working closely with research scientists business analysts and product leads to scale data
- Ensuring consistency between various platform operational and analytic data sources to enable faster and more efficient detection and resolution of issues
- Exploring and learn the latest AWS technologies to provide new capabilities and increase efficiencies
- Mentoring the team on analytics best practices
- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. t-test Chi-squared)
- Experience with scripting language (e.g. Python Java or R)
- Bachelors degree
- Masters degree or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis co-relation analysis
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.
Our team of high caliber software developers applied scientists data engineers product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that we identify & fix the right catalog defect to ensure the good shopping experience for our customers.
We are looking for a customer-obsessed Business Intel Engineer that thrives in a culture of data-driven decision making who will be responsible to help us hold a high bar for RBS Data Engineering Team
Key job responsibilities
This individual will be responsible for driving/creating:
- Experience working with large multi-dimensional datasets from multiple sources
- Make recommendations for new metrics techniques and strategies to improve the operational and quality metrics.
- Proficient using at least one data visualisation product (Tableau Qlik Amazon QuickSight Power BI etc.)
- Building new Python utilities and maintaining existing ones
- Enabling more efficient adhoc queries & analysis
- Working closely with research scientists business analysts and product leads to scale data
- Ensuring consistency between various platform operational and analytic data sources to enable faster and more efficient detection and resolution of issues
- Exploring and learn the latest AWS technologies to provide new capabilities and increase efficiencies
- Mentoring the team on analytics best practices
- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. t-test Chi-squared)
- Experience with scripting language (e.g. Python Java or R)
- Bachelors degree
- Masters degree or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis co-relation analysis
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
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