If you have a passion for driving critical thinking and addressing complex, unstructured challenges while collaborating with leaders to turn insights into actionable strategies, this role is perfect for you. As a vital part of a compact team, you will own customer and business problems from ideation to implementation, working closely with stakeholder teams. Our Mission: We empower an automation and self-service-driven customer journey for AWS clients by utilizing a range of analytics tools to derive impactful business insights. Key analytics topics involve: Product / Value Proposition design Customer / Go-to-market strategies Enhancing Customer Experience Business Planning & Forecasting Key Responsibilities: Develop, launch, and scale self-service analytics and insights offerings Over 5 years of professional experience in business intelligence, analytics, statistics, data engineering, or a related field Proficient in data modeling, SQL, ETL, data warehousing, and data lakes Strong understanding of engineering and operational best practices Expert-level SQL skills, with proficiency in one or more programming languages such as Python, Java, or Scala Familiarity with AWS products like Redshift and Quicksight Exceptional verbal and written communication skills, adept at summarizing findings and conveying information to both business and technical stakeholders About the Team: The Analytics team is a small, central group within AWS Support, combining diverse expertise ranging from strategy and planning to machine learning and business intelligence. This team is tasked with advancing our understanding of products, processes, and customers to create long-term value through insightful analysis. Why Join AWS? Amazon Web Services (AWS) is the leading cloud platform globally, known for continuous innovation and trust from a diverse range of customers, from startups to Global 500 companies. Inclusive Team Culture: AWS values a culture of inclusion and diversity. We encourage candidates of all backgrounds to apply, including those who may not meet every qualification listed. Work-Life Balance: We strive for a supportive work culture that prioritizes well-being both in the workplace and at home. Basic Qualifications: 5+ years of SQL experience Proven expertise in programming for data extraction, transformation, and cleaning of large datasets Experience with experiment design and statistical analysis Automation scripting skills (e.g., Python) and advanced SQL proficiency Knowledge of information retrieval, data science, machine learning, and data mining principles Preferred Qualifications: Experience collaborating with business stakeholders to align data insights with business needs Proven ability to manage and communicate analytical results to senior leadership Amazon embraces diversity and is an equal opportunity employer, welcoming applications without discrimination based on veteran status, disability, or any other legally protected status.