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Amazon Web Services Senior Business Analyst - Procurement in Seattle, Washington


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!

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 organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers, Business Analysts, and Business Intelligence Engineers to achieve our goals.

The successful candidate will be a self-starter comfortable with ambiguity, with high attention to detail, and a proven ability to work in a fast-paced and ever-changing environment. Candidates must have excellent analytical capabilities, be comfortable diving deep into data, have strong writing skills, lead executive-level reviews, and communicate clearly and effectively to all levels of the company, both in writing and in meetings.

The ideal candidate will not only raise the bar on retrieving and analyzing data but is a person who wants to be an active participant with a strong curiosity to understand the business end-to-end, proactively dive into issues as they arise, and has a track record of using data to influence decision makers.

In this role, you will:

· Understand a broad range of Amazon’s data resources and processes: retrieve, analyze and report necessary data from source systems and Data Warehouses; manipulate/mine data from database tables using SQL, and from log files by writing scripts (e.g. PERL, Python).

· 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; identify root cause of business trends, formulate conclusions and recommendations; determine optimized plan of action to deliver comprehensive BI solutions: identify and implement solutions to automate and streamline processes and analysis; 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.

· Simplify and automate reporting, metrics and dashboards; build solutions to have maximum scale and self-serviceability by users.

· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

· Handle multiple projects at once, deal with ambiguity and rapidly-changing priorities.

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.


· Bachelor's degree in mathematics, statistics, computer science, finance, engineering or related quantitative field.

· 6+ years’ experience in Supply Chain Analytics, writing and optimizing SQL with large-scale, complex datasets.

· 3+ years’ experience in automating reporting / dashboards using visualization tools like Tableau, MicroStrategy, etc.

· 3+ years' experience with advanced Excel tools (v-lookups, pivot tables, etc).


· Master’s degree or MBA with major in Statistics, Operations or Supply Chain.

· 8+ years’ experience in Supply Chain Analytics (Procurement, Inventory Management, or Logistics).

· 2+ years’ experience in Python or scripting languages, writing ETL jobs or other automation scripts.

· Experience in gathering requirements and formulating business metrics for complex reporting.

· Advanced ability to draw insights from analysis, frame recommendations supported by data, and clearly communicate them to stakeholders and senior management.

· Experience working in very large data warehouse environments.

· Familiarity with computer hardware and global supply chain.

· Ability to understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful BI solutions.

· 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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit