Business Intelligence Engineer, RBS BE BQA
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 BQA
Key job responsibilities
This individual will be responsible for driving/creating:
- Leveraging Generative AI tools and Large Language Models (LLMs) to automate data analysis generate insights and create natural language summaries of complex datasets
- Building and deploying GenAI-powered analytics solutions to enhance self-service capabilities and accelerate decision-making
- Developing prompt engineering strategies and RAG (Retrieval-Augmented Generation) pipelines to integrate GenAI with existing data infrastructure
- Experimenting with foundation models (e.g. Amazon Bedrock SageMaker JumpStart) to solve business intelligence challenges
- 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 visualization product (Tableau Qlik Amazon QuickSight Power BI etc.)
- Experience in deployment of Machine Learning and Statistical models
- 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
A day in the life
- Working closely with cross-functional teams including Product/Program Managers Software Development Managers Applied/Research/Data Scientists and Software Developers
- Building dashboards performing root cause analysis and sharing actionable insights with stakeholders to enable data-informed decision making
- Leading reporting and analytics initiatives to drive data-informed decision making- Designing developing and maintaining ETL processes and data visualization dashboards using Amazon QuickSight
- Transforming complex business requirements into actionable analytics solutions.
About the team
Retail Business Service accelerates WW Amazon Stores growth by improving customer and Selling Partner experiences while optimizing costs. Our three-fold charter: 1) Detect and fix customer shopping impediments 2) Grow SP business profitably including scaled tier-2/3 management 3) Reduce Cost-to-Serve across Stores P&L
RBS BQA transforms organizational capability through four pillars: Quality Assurance People Excellence Continuous Improvement and Innovation. The team proactively solves internal challenges via systematic defect identification and data-driven frameworks. Through various programs BQA positions RBS as Amazons benchmark organization.
- 5 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience writing complex SQL queries
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience in machine learning data mining information retrieval statistics or natural language processing or experience in developing and deploying LLMs in production on GPUs Neuron TPU or other AI acceleration hardware
- 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
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with design & innovation and research & development
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
This individual will be responsible for driving/creating:
- Leveraging Generative AI tools and Large Language Models (LLMs) to automate data analysis generate insights and create natural language summaries of complex datasets
- Building and deploying GenAI-powered analytics solutions to enhance self-service capabilities and accelerate decision-making
- Developing prompt engineering strategies and RAG (Retrieval-Augmented Generation) pipelines to integrate GenAI with existing data infrastructure
- Experimenting with foundation models (e.g. Amazon Bedrock SageMaker JumpStart) to solve business intelligence challenges
- 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 visualization product (Tableau Qlik Amazon QuickSight Power BI etc.)
- Experience in deployment of Machine Learning and Statistical models
- 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
A day in the life
- Working closely with cross-functional teams including Product/Program Managers Software Development Managers Applied/Research/Data Scientists and Software Developers
- Building dashboards performing root cause analysis and sharing actionable insights with stakeholders to enable data-informed decision making
- Leading reporting and analytics initiatives to drive data-informed decision making- Designing developing and maintaining ETL processes and data visualization dashboards using Amazon QuickSight
- Transforming complex business requirements into actionable analytics solutions.
About the team
Retail Business Service accelerates WW Amazon Stores growth by improving customer and Selling Partner experiences while optimizing costs. Our three-fold charter: 1) Detect and fix customer shopping impediments 2) Grow SP business profitably including scaled tier-2/3 management 3) Reduce Cost-to-Serve across Stores P&L
RBS BQA transforms organizational capability through four pillars: Quality Assurance People Excellence Continuous Improvement and Innovation. The team proactively solves internal challenges via systematic defect identification and data-driven frameworks. Through various programs BQA positions RBS as Amazons benchmark organization.
- 5 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience writing complex SQL queries
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience in machine learning data mining information retrieval statistics or natural language processing or experience in developing and deploying LLMs in production on GPUs Neuron TPU or other AI acceleration hardware
- 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
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with design & innovation and research & development
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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