Amazon Pay is looking for an experienced Business Intelligence Engineer with excellent technical and analytical abilities. If you are a selfstarter someone who thrives in a fastpaced environment with a passion for building scalable longterm 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 quicklearner who can quickly familiarize themselves with a fastpaced environment build relationships with crossfunctional teams and assume ownership for a broad array of domains. Our team culture is goaloriented collaborative and driven to achieve results.
Key job responsibilities
1. Analyze and visualize data to generate insights for business and report with recommendation.
2. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations.
3. Develop and recommend metrics that supports Business and Product growth.
4. 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
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 in Statistical Analysis packages such as R SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
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