Senior Business Intelligence Engineer

Job Description

Amazon s Digital and Emerging Payments team develops global services to create and improve the customer paying experience. Measuring customer behavior, developing insights and monitoring our success requires large amounts of data.We re currently looking for a tenured Business Intelligence Engineer to focus on improving the success of our product. This is an opportunity to join a group with a broad charter and stakeholders across Amazon to directly influence the customer experience for Amazon products worldwide. This role offers exciting challenges and the opportunity to influence and drive a growing business area. A successful candidate loves problem solving, obsesses over data, and has a track record of using data to influence successful business decisions.You will: Lead and develop payment metrics: Lead and design reporting solution for Payment metrics for new and existing payment products. Work with Data engineers and Product managers to define reporting needs. Built Self-Service BI: Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull most granular data for defect verification, customer communication, deep-dive etc. Run DSI Analysis: Learn Payment DSI methodology, run DSI ML models created by science team, gather input data, define parameters and publish results to stakeholders. Perform exploratory data analysis: Propose business metrics and perform data analysis for untouched areas. Find and merge dispersed data sources for reporting and deep-dive. Create automated business monitoring systems: Propose new ideas and create solutions for business monitoring systems such as using ML to analyze business metrics.You are: Customer obsessed: You have a sharp business acumen and are passionate about changing the way customers used data to drive success. Work independently and comfortable with ambiguity: Work independently on incomplete, unstructured and ambiguous requirements. A leader: Manage multiple projects and stakeholders simultaneously. Make intelligent decisions based on data and business priority, guide teams roadmap, help & mentor other teammates. Work across multiple teams to make alignment, create mechanisms and influence another team s roadmap. Design & develop best in class solutions: Design best in class data pipelines and reporting solutions that are efficient, scalable, extensible and create automated monitoring and alerts to reduce human intervention.Payments team is working on a broad strategy to expand its data architecture and reporting infrastructure. We continuously monitor and set goals against critical business metrics such as cost of payments, purchase success rates and customer contact rates. If you are ready to take on a BIE role that requires to make high judgement decision, handle large scope with high visibility, and enjoy moving at a fast pace, please reach out to learn more from me., Bachelors degree in Computer Science, Engineering, Mathematics or other business/analytical disciplines or equivalent experience. 5+ years of relevant experience as business intelligence engineer in data/BI space. Proficiency with reporting, dashboarding, data mining using SQL, reporting tools (e.g. Excel) and data visualization tools (e.g. Quicksight, Tableau or Qlik) Proficiency in data modeling and transformation of large-scale data using SQL, Spark, Hive, EMR, or other Big Data technologies Proficiency in creating reporting data pipelines, designing tables/views and optimizing queries. Proficiency in descriptive statistics (i.e. measures of distribution) and familiar with inferential statistics (e.g. hypothesis testing, confidence intervals) and know when such methods are appropriate. Experience in one or more scripting languages (e.g. Python, R, Shell) Excellent communication and presentation skills working with multiple peer groups and different levels of management. Fluency in English, both written and spoken. Master s degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or other quantitative area 7+ years in relevant experience business intelligence engineer or equivalent Experience using AWS technologies such as Redshift, S3, EC2, EMR and other data warehouse or pipeline products. Advanced analytical skills, with experience of using statistical methods (e.g. regression, clustering, classification) to solve business problems.

Keyskills :
analytical skillsglobal servicesdata miningproblem solvingdata modelingbig datacomputer sciencedata visualizationbusiness acumenhypothesis testingdata analysiscustomer communicationemerging paymentspresentation skillscustomer contactcustome