Amazon Sr Business Intelligence Engineer Customer Shopping Delivery Experience 

India, Karnataka 

28040331

Key job responsibilities
A day in the life
- You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, optimization) to identify different opportunities to improve sales, improve Prime shipping and delivery benefits, reduce ship costs, improve discoverability, etc.
- You will own end-to-end program management. You will not only develop insights but devise realistic plans and work with key stakeholders (software managers, product managers, retail business managers, sellers, transportation planners/managers, and warehouse managers ) to execute them.
- You will be responsible for adding YY million $ to top line or reducing XX million $ actual savings on the bottom line. You will not be responsible for only "recommendation" but actual improvements made to bottom or top line.
- You will engage with senior leadership on drafting proposals for new concepts, improvement plans, 3-year strategy and outlook.
- You will be a subject matter expert in best in class customer experience policies at Amazon. You will understand intricate details of our promise and ordering systems along with their impact on ground-level operations

- 8+ years of professional or military experience
- 6+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- • Expert in data extraction experience using SQL. We expect robust basic foundational skills in SQL extraction. You are not expected to write Procedures or Trigger Functions.
- • ETL experience and basic/intermediate familiarity with Linux preferred. Intermediate skills with Python, Ruby, or, at least, one similar scripting language. If you can understand a code and have the knack to learn then you should be covered.
- • Strong understanding of BI technologies and their application including database warehousing and dashboarding
- • Experience on at least one data visualization tools (e.g., Tableau, QuickSight, RShiny)
- • Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- • Master’s degree in any quantitative field preferred. Bachelor's degree or experience in computer science or another technical field is highly desired.
- • Technical aptitude and familiarity with the design and use of complex ordering, promise, and supply chain software systems.
- • Experience working effectively with software engineering teams. Analysts are not expected to write production code, but it helps to be able to read it.
- • Experience communicating with senior management (VP level decision makers) as well as with colleagues from computer science, operations research, and business backgrounds.
- • A Strong individual contributor who can work with minimal direction and oversight.