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Business Analytics Engineer
2 months ago
We are seeking a highly skilled Business Intelligence Engineer to join our team at Amazon Services LLC. As a Business Intelligence Engineer, you will play a critical role in driving business decisions with data-driven insights.
Key Responsibilities- Design and Develop Data Solutions
Design, develop, and maintain scaled, automated, user-friendly systems, reports, and dashboards to enable stakeholders to manage the business and make effective decisions.
Drive Data-Driven Decision MakingDrive data-driven decision-making through compelling narratives that seamlessly integrate data analysis, visualizations, and statistical insights.
Collaborate with Cross-Functional TeamsWork with Product Managers to understand business requirements and implement solutions to support product plans.
Conduct Data Analysis and Quality InvestigationsConduct ad hoc data analysis and data quality investigations to identify trends and support decision making.
Develop and Support Analytical TechnologiesDevelop and support the analytical technologies that give our customers timely, flexible, and structured access to their data.
Define and Maintain Critical Business ReportsDefine, develop, and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis.
Extract Insights from Large Data SetsAnalysis of historical data to extract meaningful insights from large and complex data sets to identify trends and support decision making.
Collaborate with Software Development TeamsCollaborate with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models.
About the TeamWe are a team of Data Engineers and Business Intelligence Engineers focused on enabling scientists, product managers, and economists to invent measurement techniques with high-quality data sets, metrics, and dashboards that enable them to build and evaluate ML models and roll out new measurement techniques at scale.
Requirements- 8+ Years of Professional Experience
- 5+ Years of SQL Experience
- Experience with Large Data Sets
- Experience with Data Science, Machine Learning, and Data Mining
