Senior Business Intelligence Engineer, RBS Selection Value
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Job Location:
Monthly Salary:
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Are you passionate about leveraging evolving LLM technology to solve one of Amazons most fundamental challenges Do you want to be build products to fix gaps that impact a products performance As the Senior Business Analyst for the RBS Selection Value team (winner of the 2025 Amazon Door Desk Award) youll shape the future of how Amazon teams understand and act on products at unprecedented scale.
Key job responsibilities
As a Business Intelligence Engineer in RBS Selection Value Team you will be responsible for analyzing data to identify product value drop-off developing scalable solutions for addition you will be responsible for building AI-LLM models to predict and identify opportunities to maximise a products potential.
Responsibilities:
- Understand the requirements of stakeholders and map them with the data sources/data warehouse
- Design and develop highly available dashboards and metrics using Tableau Excel and SQL.
- Execute high impact LLM models
- Perform business analysis and data queries using scripting languages like R Python etc.
- Execute analytical projects and understanding of analytical methods (like ANOVA Distribution theory regression forecasting Machine Learning Techniques etc.)
A day in the life
Youll operate at the intersection of evolving LLM technology and real-world business impact. A typical day might include:
1) Working closely with Amazon teams to understand their feedback analysis needs and build solutions to maximise value
2) Defining platform features and requirements for upcoming releases
3) Collaborating with Data Scientists and Engineers to build and optimize our offerings
4) Analysing platform metrics to identify performance optimization opportunities
5) Contributing to technical design reviews for new features
6) Reviewing customer feedback and usage patterns to guide product evolution
- 10 years of professional or military experience
- 5 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 with AWS technologies
- 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
- Bachelors degree or equivalent
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
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
As a Business Intelligence Engineer in RBS Selection Value Team you will be responsible for analyzing data to identify product value drop-off developing scalable solutions for addition you will be responsible for building AI-LLM models to predict and identify opportunities to maximise a products potential.
Responsibilities:
- Understand the requirements of stakeholders and map them with the data sources/data warehouse
- Design and develop highly available dashboards and metrics using Tableau Excel and SQL.
- Execute high impact LLM models
- Perform business analysis and data queries using scripting languages like R Python etc.
- Execute analytical projects and understanding of analytical methods (like ANOVA Distribution theory regression forecasting Machine Learning Techniques etc.)
A day in the life
Youll operate at the intersection of evolving LLM technology and real-world business impact. A typical day might include:
1) Working closely with Amazon teams to understand their feedback analysis needs and build solutions to maximise value
2) Defining platform features and requirements for upcoming releases
3) Collaborating with Data Scientists and Engineers to build and optimize our offerings
4) Analysing platform metrics to identify performance optimization opportunities
5) Contributing to technical design reviews for new features
6) Reviewing customer feedback and usage patterns to guide product evolution
- 10 years of professional or military experience
- 5 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 with AWS technologies
- 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
- Bachelors degree or equivalent
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
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:
Senior 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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