Business Intelligence Engineer

Job Summary

Amazon Web Services (AWS) provides a highly reliable, scalable, and low-cost cloud platform that powers thousands of businesses in over 190 countries. AWS’ Infrastructure Supply Chain & Procurement (ISCaP) organization works to deliver cutting-edge solutions to source, build and maintain our socially responsible data centre supply chains. We are a team of highly motivated, engaged, and responsive professionals who enable the core sustainable infrastructure of AWS. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth!

Do you love problem-solving? Are you looking for real-world Supply Chain challenges? Do you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing?

Amazon Web Services is looking for a highly motivated, analytical and detail-oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that support AWS Infra Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers, Data Scientists and Business Analysts to achieve our goals.

The successful candidate will be a self-starter who has a combination of superior analytical and technical abilities, business acumen, and written and verbal communication skills. Data-driven decision-making is at the core of Amazon’s culture. The ideal candidate has deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building a rapid prototype using Python/ R and generating insights that enable senior leaders to make critical business decisions. The ideal candidate has experience providing guidance and support for other engineers with industry best practices and direction. They are comfortable with ambiguity and communicate clearly and effectively to all levels of the company, both in writing and in meetings. They are motivated to achieve results in a fast-paced environment.

In this role, you will:

• Understand a broad range of Amazon’s data resources and processes.
• Interface with Global Stakeholders, Data Engineers, and Business Analysts across time zones to gather requirements by asking the right questions, analyzing data, and drawing conclusions 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.

Our environment is fast-paced and requires someone who is 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.

Basic Qualifications

• Bachelor’s degree in Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science or related field from a premier institute.
• 1+ years’ hands-on analytics work experience, with proven quantitative orientation.
• Hands-on experience in Python, SQL, Data Warehouse solutions and databases
• Experience building measures and metrics, and developing reporting solutions
• Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.

Preferred Qualifications

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