Business Intelligence Engineer, DNA
Business Intelligence Engineer, DNA
Posted on :
17-05-2025
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1 Vacancy
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Job Description
Amazon Fashion is a fast moving innovative team that is revolutionizing the future of online Fashion retail to become each customers most loved fashion destination. We are looking for candidates that are passionate about big data and data warehouse technologies (Redshift EMR Spark) visualization (Tableau Amazon QuickSight) and statistical modelling/ML. This role will design execute and iterate on managing the data product landscape that is leveraged by the entire in EU Amazon Fashion & Sports organization. This role will drive improvements in buying forecasting availability and sell through management to surprise and delight Fashion customers at every turn.
A key responsibility will be managing the technical debt of 20 data products under the teams umbrella ensuring operational excellence of data pipelines and web applications that provide critical data and insights to internal customers and selling partners (external). You will also be instrumental in building next generation products using AWS technologies like AWS LakeFormation to enhance our data capabilities and drive innovation.
The ideal candidate has a strong track record and endtoend ownership of the full stack of data analysis (data engineering ETL data modelling and data visualization) with a high fluency in SQL and Python. You should also thrive on independence and be relentless in finding automated solutions and eliminating manual solutions.
Primary Responsibilities:
Own Data and BI roadmap by working with business leaders on strategically prioritizing numerous requests and longterm adoption of new technologies
Develop data products with key actionable metrics for review with senior leadership and to drive action with business teams
Empower nontechnical internal customers to selfsufficiency in analytics and reporting via business intelligence and visualization software (e.g. Tableau Amazon Quicksight AWS Q etc.).
Maintain and enhance a complex Data lake that powers reporting tools actionoriented products ML models and central applications that are widely used by WW business users.
Use statistical and Machine Learning techniques for strategic deep dives and generate actions as well as communicating in front of senior leadership.
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
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 with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
A key responsibility will be managing the technical debt of 20 data products under the teams umbrella ensuring operational excellence of data pipelines and web applications that provide critical data and insights to internal customers and selling partners (external). You will also be instrumental in building next generation products using AWS technologies like AWS LakeFormation to enhance our data capabilities and drive innovation.
The ideal candidate has a strong track record and endtoend ownership of the full stack of data analysis (data engineering ETL data modelling and data visualization) with a high fluency in SQL and Python. You should also thrive on independence and be relentless in finding automated solutions and eliminating manual solutions.
Primary Responsibilities:
Own Data and BI roadmap by working with business leaders on strategically prioritizing numerous requests and longterm adoption of new technologies
Develop data products with key actionable metrics for review with senior leadership and to drive action with business teams
Empower nontechnical internal customers to selfsufficiency in analytics and reporting via business intelligence and visualization software (e.g. Tableau Amazon Quicksight AWS Q etc.).
Maintain and enhance a complex Data lake that powers reporting tools actionoriented products ML models and central applications that are widely used by WW business users.
Use statistical and Machine Learning techniques for strategic deep dives and generate actions as well as communicating in front of senior leadership.
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
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 with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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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