Amazon Business Intelligence Engineer Amazon 

India, Karnataka, Bengaluru 

225905706

Key job responsibilities
* Collaborate with business and product leaders to solve problems, create operational efficiencies, and deliver against high organizational standards
* Apply analytical techniques to answer high-impact business questions and present insights in a concise, effective manner
* Build and maintain a robust set of operational and business metrics to identify improvement opportunities
* Translate data into meaningful insights that inform strategic decision-making by senior leaders
* Partner with stakeholders to gather requirements, integrate data sources, and develop analytics and reporting solutions
* Demonstrate proficiency in SQL, data analysis, and data visualization tools to drive data-driven decision making
* Dive deep into technical and operational details to resolve complex problems, coordinating with engineering teams as needed
* Thrive in a dynamic, fast-paced environment, leveraging strong analytical skills, business acumen, and the ability to operate at scale.
* Define, develop, and maintain critical business and operational metrics reviewed on a regular basis.
* Analyze historical data to identify trends and support decision-making, including presenting results and recommendations.
* Collaborate with software development teams to implement analytics systems and data structures to support large-scale data analysis and reporting.
* Identify trends in metrics and segment them along suitable dimensions to reveal deeper dynamics.
* Provide actionable insights to senior leaders to inform strategies in critical areas.A day in the life
A day in the life of a BIE-I will include:* 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.

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
- Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
- Experience with scripting languages (e.g., Python, Java, R) and big data technologies/languages (e.g. Spark, Hive, Hadoop, PyTorch, PySpark)

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Experience in the data/BI space
- Experience in designing and implementing custom reporting systems using automation tools
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)