Description

　　Amazon Pay is looking for an experienced Business Intelligence Engineer with excellent technical and analytical abilities. If you are a self-starter, someone who thrives in a fast-paced environment, with a passion for building scalable long-term solutions, then you are the right candidate for our team. In this role, the candidate would work closely with tech teams and product/program across US, EU and JP to build scalable solutions and drive WBRs for your domain.

　　The position is based in Bangalore. We seek a quick-learner who can quickly familiarize themselves with a fast-paced environment, build relationships with cross-functional teams, and assume ownership for a broad array of domains. Our team culture is goal-oriented, collaborative and driven to achieve results.

　　Key job responsibilities

　　Analyze and visualize data to generate insights for business and report with recommendation.

　　Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations.

　　Develop and recommend metrics that supports Business and Product growth.

　　Drive WBRs for your domain.

　　Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations

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

　　Bengaluru, KA, IND

　　Basic Qualifications

　　3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

　　Experience with data visualization using Tableau, Quicksight, or similar tools

　　Experience with data modeling, warehousing and building ETL pipelines

　　Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

　　Preferred Qualifications

　　Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

　　Experience in Statistical Analysis packages such as R, SAS and Matlab