Bus. Intelligence Engineer, ISCAP - Var

Job Description

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.Key job responsibilitiesUnderstand 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.We are open to hiring candidates to work out of one of the following locations:Bengaluru, KA, IND, - 2 years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R) - Masters degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysis

Keyskills :
amazon web serviceshandle multiple projectsexploratory data analysisdata centersql queriestime seriessupply chainweb servicesrapid growthdata analysisdata modelingmodel buildingbusiness acumencommercial modelsinterpreting databusiness analy