Description

　　The Business Intelligence Engineer will own a high-visibility growth area in a dynamic, entrepreneurial analytics team. We are seeking an exceptionally talented, visionary and deeply focused BI Engineer with outstanding analytical skills. They will build some of the largest reporting objects in the Accounts Receivable BI space, thereby contributing to business outcomes by analytics. This is a unique opportunity to build one of the largest Finance Operations BI environments of present day. The role holder will build their know-how rapidly and thrive in Amazon's high paced, Day 1 culture.

　　Key job responsibilities

　　Solve real life business problems by data analytics using big data

　　Collaborate with business users on requirements, objectives and measures

　　Optimise and organize data pipelines from the Finance Operations Data Lake into the visualization environment

　　Build and manage Tableau workbooks

　　Provide input and recommendations on technical issues to data engineering and software engineering teams

　　Contribute to data design, data modelling and data extracts/transforms

　　Work in a genuinely global environment, across various functional teams

　　A day in the life

　　Are you an experienced Business Engineer, looking forward to driving innovation in the data and analytics space?

　　The BI Engineer will drive the development of reporting and analytics across the global portfolio of businesses and processes; and produce reports and analyses for decision making, metrics management and more. The role will translate business problems into data problems; obtain the required data by working with other engineering teams; produce reporting; and continuously optimise the data pipelines and transformations.

　　About the team

　　Global Accounts Receivable is in charge of all AR processes across Amazon's businesses and geographies. Global AR, Data Analytics (GARDA) supports all decisions in AR. GARDA’s mission is to drive a world class Order-to-Cash cycle by providing timely data, insights and predictions to our leadership and operations teams. In close cooperation with our stakeholders, we agree and build uniform metrics; use data from a ‘single source of truth’; provide automated, self-service, standard reporting; and build predictive analytics. Our topmost ambition is to actively contribute to the improvement of Amazon's Free Cash Flow by value-adding analytics.

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

　　Manila, PHL

　　Basic Qualifications

　　5+ 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 writing complex SQL queries

　　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

　　Preferred Qualifications

　　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 large-scale, complex datasets