Amazon Business Intelligence Engineer 

India, Karnataka, Bengaluru 

398017525

AWS Infrastructure Services (AIS)
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities · Interface with Global Stakeholders, Data Engineers, and Business Analysts across time zones to gather requirements by asking right questions, analyzing data, and drawing conclusion by making and validating appropriate assumptions.
· Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive Analytical solutions.
· Enhance analytical maturity through predictive and prescriptive analytics using Machine Learning and Optimization techniques.
· Produce written recommendations and insights for key stakeholders to help shape solution design.
· Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key supply chain, and procurement decisions.
· Handle multiple projects at once, deal with ambiguity and rapidly-changing priorities. About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Inclusive Team Culture Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance

- Bachelor’s degree in Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science or related field.
- 6+ years’ hands-on analytics work experience, with proven quantitative orientation.
- 3+ years’ experience using business intelligence tools like Tableau, QuickSight, PowerBI etc. Hands on experience in Python, SQL, Data Warehouse solutions and databases
- Experience building measures and metrics, and developing reporting solutions
- Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful BI solutions.

- Master’s degree in Data Science, Operations, Statistics from a premium institute, or MBA from premier business schools.
- 4+ years’ experience in Supply Chain Analytics, Data Science or related specialty.
- Experience with AWS technologies like Redshift, S3, Lambda, Glue.
- Experience in statistical computing using Python/ R.