Business Intelligence Engineer, Finance Automation
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
As Business Intelligence Engineer you will have end-to-end ownership of data analytics and insights that drive product and business decisions for the FinAuto this role you will partner with product managers engineers technical program managers and business stakeholders to establish data-driven entitlements build scalable analytics solutions and deliver actionable insights that optimize financial automation processes.
Key job responsibilities
Analytics Leadership:
Listen to and advocate for data-driven decision making across the organization
Define and prioritize the analytics roadmap (metrics dashboards deep-dive analyses self-service tools)
Contribute to product discovery via scenario analysis entitlement studies and exploratory data analysis
Develop metrics frameworks KPI definitions and measurement strategies
Ensure data alignment and consistency across all teams and reporting layers
Technical Execution:
Design and build scalable data pipelines ETL processes and data models
Develop automated dashboards and self-service analytics tools for stakeholders
Conduct deep-dive analyses including root-cause analysis bridges and loss attribution
Partner with data engineering teams on data quality schema design and infrastructure decisions
Perform statistical analysis and modeling to identify trends anomalies and optimization opportunities
Translate complex analytical findings into clear actionable recommendations for technical and non-technical audiences
- 3 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 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
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
Analytics Leadership:
Listen to and advocate for data-driven decision making across the organization
Define and prioritize the analytics roadmap (metrics dashboards deep-dive analyses self-service tools)
Contribute to product discovery via scenario analysis entitlement studies and exploratory data analysis
Develop metrics frameworks KPI definitions and measurement strategies
Ensure data alignment and consistency across all teams and reporting layers
Technical Execution:
Design and build scalable data pipelines ETL processes and data models
Develop automated dashboards and self-service analytics tools for stakeholders
Conduct deep-dive analyses including root-cause analysis bridges and loss attribution
Partner with data engineering teams on data quality schema design and infrastructure decisions
Perform statistical analysis and modeling to identify trends anomalies and optimization opportunities
Translate complex analytical findings into clear actionable recommendations for technical and non-technical audiences
- 3 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 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
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
About Company
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