Description

　　Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, Amazon’s Supply Chain Optimization Technology (SCOT) organization is for you. At SCOT, we solve deep technical problems and build innovative solutions in a fast-paced environment working with smart & passionate team members. (Learn more about SCOT: http://bit.ly/amazon-scot)

　　SCOT Regional Team in India is seeking highly motivated individuals with exceptional data analytics skills and a passion for tackling intricate challenges. In this role, you will utilize your expertise to inform impactful business decisions that enhance customer experience and contribute to long-term free cash flow growth. You will gain a comprehensive understanding of Amazon's systems and supply chain processes through collaboration with diverse teams across product, science, tech, retail categories, finance, and operations.

　　Key job responsibilities

　　• Analyze and synthesize large data streams across multiple systems/inputs.

　　• Work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers, improving a wide range of internal products that impact sourcing and inventory health.

　　• Develop business insights basis data extraction, data analytics, trend deduction & Pattern recognition.

　　• Present these business insights to senior management/executives.

　　• Create advanced dashboard to help a large group of teams to consume insights make changes to business process and track progress.

　　• Build analytical models that can help improve business outcomes at scale enhancing current system abilities.

　　We are open to hiring candidates to work out of one of the following locations:

　　Bengaluru, KA, IND

　　Basic Qualifications

　　5+ years of SQL experience

　　Experience programming to extract, transform and clean large (multi-TB) data sets

　　Experience in scripting for automation (e.g. Python) and advanced SQL skills.

　　Knowledge of data warehousing and data modeling

　　Preferred Qualifications

　　Experience working directly with business stakeholders to translate between data and business needs

　　Experience managing, analyzing and communicating results to senior leadership

　　Masters degree in mathematical, statistical, or data oriented field.