Address Description
The Business Intelligence Engineer will own a high-visibility, growth in a dynamic, entrepreneurial analytics team. We are seeking an exceptionally talented, visionary and deeply focused BI Engineer with outstanding analytical skills who build some of the largest reporting objects in the Accounts Receivable BI space, contribute to business outcomes by analytics while also providing support engineering services to our managed Tableau . This is a unique early-stage 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
- Build scalable analytics solutions leveraging the defined tech stack
- Optimize and organize data pipelines into the visualization environment
- Collaborate with business users on requirements, objectives and measures
- Access large scale data and use analytical tools
- 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
- Own the governance of global areas of data and metrics
- Build and manage Tableau workbooks
A day in the life
The BI Engineer will be in charge of building a high performing analytics products relying on the native AWS tech stack, SQL, Tableau, Python. The role will focus on performance optimisation and data governance. The BIE will build one of the largest Finance Operations analytics environment on Earth.
The BIE will drive the development of reporting and analytics across the global portfolio of businesses and processes; and produce data, reports and analyses for decision making, metrics management and more.
The role will be savvy at the use of Tableau; architect and build the pipeline towards it. The BIE will optimise user experience by creating excellent visualisation performance.
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. Our success is built on users' trust in our data and the reliability of our analytics tools.
We are open to hiring candidates to work out of one of the following locations:
Hyderabad, TS, IND
Basic Qualifications
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
Preferred Qualifications
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
