Business Analyst

Job Description

Hundreds of millions of customers, billions of transactions, petabytes of data How to use the world s richest collection of e-commerce and device usage data to acquire new customers, target existing customers, and predict customer behavior Custom Analytics and Marketplace Solutions (CAMS) within CBA (Customer Behavior Analytics) team seeks a Business Intelligence Engineer to build custom analytics/reporting solutions and mine actionable customer insights to drive new customers, engagement existing customers and drive marketing efficiencies.Amazon.com has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities.As a BIE in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the marketing and product management team through a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.ResponsibilitiesDemonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniquesUnderstand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing managementWork closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus areaInnovate by adapting new modeling techniques and proceduresYou should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets.You should have exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.You will extract huge volumes of data from various sources and message streams and construct complex analyses. You will implement data flow solutions that process data real time on message streams from source systems.You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training.Your teams will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes of online data at scale to serve our customers., Bachelors degree in Business, Engineering or a related field 4+ years of professional experience in analytics, business analysis or comparable consumer analytics position Advanced working knowledge of data mining using SQL, ETL, data warehouse as well as Excel Demonstrated experience in preparing and executing presentations of technical and business level data Proven problem solving skills, attention to detail, and exceptional organizational skills Ability to deal with ambiguity and competing objectives in a fast paced environment 4+ years of relevant experience in a business analyst/data analyst/statistical analysis role Understanding of data warehousing, data modeling concept and building new DW tables Working knowledge of R/ Python or other analytics platforms Display entrepreneurial spirit in working Ability to work efficiently and effectively in fast paced environment with tight deadlines

Keyskills :
functionalmachine learningbusiness requirementscustomer relationsproblem solvinglow latencyrequirementsdata flowdata modelingdata warehousingdata miningdecision theorydocumentation