Business Intelligence Engineer DaS FinTech
Business Intelligence Engineer DaS FinTech
Posted on :
13-04-2025
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1 Vacancy
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Job Description
Are you a highly skilled Business Intelligence engineer and project leader Do you think big enjoy complexity and building solutions that scale Are you curious to know what you could achieve in a company that pushes the boundaries of modern technology If you answered yes and you have a background in FinTech youll love this role and Amazons data obsessed culture.
Amazon Devices and Services Fintech is the global team that designs and builds the financial planning and analysis tools for wide variety of Amazons new and established organisations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play) this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon.
This team is looking for high caliber and tested Business Intelligence Engineer (BIE) to enable and improve senior level business decision making. A strategic thinker who combines technical expertise with business acumen to develop and maintain scalable data solutions. You will apply both business and technical acumen in a fastpaced ambiguous and innovative environment. Our ideal teammate possesses a natural curiosity sharp analytical skills and is excited to pioneer on behalf of customers.
Key job responsibilities
Engineer robust automated reporting systems and dashboards that facilitate datadriven decision making
Partner with Product and Business teams to capture requirements and deliver analytical solutions
Execute targeted data analyses and ensure data quality through regular audits
Create and maintain systems that provide customers with structured realtime access to their data
Build and maintain businesscritical reports across different time horizons (weekly to annual)
Analyze complex historical datasets to uncover trends and present actionable insights through clear communications
Support development teams in building analytics infrastructure for largescale data analysis and machine learning deployment
Transform data insights into concrete recommendations for business strategy and product development
Develop key performance metrics and create business review presentations using visualization tools
Perform indepth analysis using advanced SQL and Python programming
Design and maintain data infrastructure including ETL pipelines and cloudbased solutions
Develop comprehensive documentation and training resources for selfservice analytics tools
Bachelors degree in Computer Science Engineering Mathematics or related field
5 years of analysing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualisation using Tableau Quick sight or similar tools
Experience independently leading and delivering endtoend analytics analyses and products.
Experience with data modeling warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R SAS and Matlab
Data infrastructure and automation (such as ETL data pipelines Redshift S3 Athena Glue)
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions.
Experience with programming languages such as python java shell scripts.
Experience with IBM Planning Analytics/TM1 both scripting processes and writing rules.
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience with design & delivery of formal training curriculum and programs.
Project management scoping reporting and scheduling experience.
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.
Amazon Devices and Services Fintech is the global team that designs and builds the financial planning and analysis tools for wide variety of Amazons new and established organisations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play) this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon.
This team is looking for high caliber and tested Business Intelligence Engineer (BIE) to enable and improve senior level business decision making. A strategic thinker who combines technical expertise with business acumen to develop and maintain scalable data solutions. You will apply both business and technical acumen in a fastpaced ambiguous and innovative environment. Our ideal teammate possesses a natural curiosity sharp analytical skills and is excited to pioneer on behalf of customers.
Key job responsibilities
Engineer robust automated reporting systems and dashboards that facilitate datadriven decision making
Partner with Product and Business teams to capture requirements and deliver analytical solutions
Execute targeted data analyses and ensure data quality through regular audits
Create and maintain systems that provide customers with structured realtime access to their data
Build and maintain businesscritical reports across different time horizons (weekly to annual)
Analyze complex historical datasets to uncover trends and present actionable insights through clear communications
Support development teams in building analytics infrastructure for largescale data analysis and machine learning deployment
Transform data insights into concrete recommendations for business strategy and product development
Develop key performance metrics and create business review presentations using visualization tools
Perform indepth analysis using advanced SQL and Python programming
Design and maintain data infrastructure including ETL pipelines and cloudbased solutions
Develop comprehensive documentation and training resources for selfservice analytics tools
Bachelors degree in Computer Science Engineering Mathematics or related field
5 years of analysing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualisation using Tableau Quick sight or similar tools
Experience independently leading and delivering endtoend analytics analyses and products.
Experience with data modeling warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R SAS and Matlab
Data infrastructure and automation (such as ETL data pipelines Redshift S3 Athena Glue)
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions.
Experience with programming languages such as python java shell scripts.
Experience with IBM Planning Analytics/TM1 both scripting processes and writing rules.
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience with design & delivery of formal training curriculum and programs.
Project management scoping reporting and scheduling experience.
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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