Amazon Business Intelligence Engineer Amazon 

India, Karnataka, Bengaluru 

950629276

Key job responsibilities* Create program goals and related metrics, track progress, and manage through obstacles to help the team achieve objectives
* Identify opportunities for improvement or automation in existing data processes and lead the changes using business acumen and data handling skills
* Ensure best practices on data integrity, design, testing, implementation, documentation, and knowledge sharing
* Contribute to supplier operations strategy development based on data analysis
* Lead strategic projects to formalize and scale organizational processes
* Build and manage weekly, monthly, and quarterly business review metrics
* Build data reports and dashboards using SQL, Excel, and other tools to improve business efficiency across programs
* Understand loosely defined or structured problems and provide BI solutions for difficult problems, delivering large-scale BI solutions
* Provide solutions that drive the team's business decisions and highlight new opportunities
* Improve code quality and optimize BI processes
* Demonstrate proficiency in a scripting language, data modeling, data pipeline design, and applying basic statistical methods (e.g., regression) for difficult business problemsA day in the life
A day in the life of a BIE-II 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.

- 4+ 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience writing complex SQL queries
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with scripting languages (e.g., Python, Java, R) and big data technologies/languages (e.g. Spark, Hive, Hadoop, PyTorch, PySpark) to build and maintain data pipelines and ETL processes
- Demonstrate proficiency in SQL, data analysis, and data visualization tools like Amazon QuickSight to drive data-driven decision making.
- Experience applying basic statistical methods (e.g. regression, t-test, Chi-squared) as well as exploratory, deterministic, and probabilistic analysis techniques to solve complex business problems.
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports.
- Track record of generating key business insights and collaborating with stakeholders.
- Strong verbal and written communication skills, with the ability to effectively present data insights to both technical and non-technical audiences, including senior management