Amazon Sr Business Intelligence Engineer 

India, Karnataka 

115692304

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.
· Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard time Series Forecasting , Linear Optimization techniques.
· Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive Analytical solutions.
· 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.Our environment is fast-paced and requires someone who is a hard-working, meticulous and energetic, who gets things done at an effective pace, gets results and is comfortable working with tight deadlines and changing priorities.Bengaluru, KA, IND

- Bachelor’s degree in Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science or related field from a premier institute.
- 10+ years’ hands-on analytics work experience, with proven quantitative orientation.
- 3+ years of Functional Experience in Supply Chain, Marketing or Finance domain
- 5+ years’ experience using business intelligence tools like Tableau, PowerBI, QlickView and Spotfire etc.
- 5+ years experience in Python/R, SQL, Data Warehouse solutions and databases
- Experience building measures and metrics, and developing reporting solutions
- Proficiency in both Supervised ,UnSupervised learning algorithms, optimization and Hypothesis testing.
- Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful BI solutions.
- Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadlines.
- Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.
- Strong leadership skills and ability to assume leadership role with cross-functional peers.

- Master’s degree in Data Science, Operations, Statistics from a premium institute, or MBA from premier business schools.
- 8+ years’ experience in Business Analytics, Data Science or related specialty.
- Experience with AWS technologies like Redshift, S3 and Athena.
- Experience in statistical computing using Python/ R.
- Experience managing, analyzing and communicating results to senior leadership