Business Intelligence Engineer

Business Intelligence Engineer

Amazon
5-8 years
Not Specified

Job Description



Job Description :
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 center 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 supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers and Business Analysts to achieve our goals.

The successful candidate will be a self-starter 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 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.

Responsibilities:

. 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 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.

Basic Qualifications :
  • Bachelor's degree in Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science or related field from a premier institute.
  • 5+ years hands-on analytics work experience, with proven quantitative orientation.
  • 3+ years experience using business intelligence tools like Tableau, PowerBI, QlickView and Spotfire etc.
  • 3+ 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.


Preferred Qualifications :
  • 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.
Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

About Amazon

Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.

Job Source : www.amazon.jobs

Similar Jobs

People Also Considered

Career Advice to Find Better