DESCRIPTION

The Business Intelligence Engineer will be a part of the high-visibility, growth-oriented, and dynamic Finance Operations, Global Data & Analytics (GDA) team. The GDA team are seeking an exceptionally talented, visionary, and deeply focused BI Engineer who can build reporting objects, and uses analytics to influence business outcomes. The role will develop Business Intelligence solutions that empower one of the world’s largest Account Payables and Receivables teams to operate at scale, and resolve process defects. The role will navigate ambiguity to rapidly build their knowledge of Amazon’s “Order to Cash” and “Procure to Pay” processes (and their accompanying data sets) to become a trusted analytics partner for our 2,000+ business partners across Finance Operations Head Quarters and Service Centres.

Key job responsibilities
– Business partner with Accounts Payable Service Center leaders to identify, plan, and execute on analytical opportunities that enable identification and reduction of transactional defects and work drivers, goal performance measurements, new business expansion health metrics, and operational analysis.
– Proactively perform advanced analytics and financial analysis that support the business prioritise work, identify anomalies, and improve business process.
– Use of QuickSight/SQL/Python/Amazon tools, and partner with our Data Science team to deliver valuable insights, reduce cost per transaction, and invent and simplify.
– Business partner with stakeholders to align, document, and govern metric definitions.
– Provide training and support on systems such as QuickSight, and SQL to our business customers, and participating in cross-team knowledge sharing.
– Creating queries and reporting on-demand.
– Onboard new data sets, influence the design of our data infrastructure, and think big about solutions to complex analytic needs.

A day in the life

The BI Engineer will be in charge of building high-performing analytics products relying on the native AWS tech stack, SQL, QuickSight, and Python. The role will business partner across global Finance Operations to become an expert in core business processes, and will work backwards to enhance metric governance, identify and action analytical opportunities, and leverage data to build compelling business cases that influence our operations.

About the team
Global Data Analytics (GDA) is in charge of all the Finance Operations reporting across Amazon’s businesses and geographies. GDA’s mission is to be trusted and business-focused analytics partners, providing timely data, analytics, and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes. Our vision is to empower the world’s largest Accounts Receivable (AR) and Payable (AP) departments to deliver large scale business outcomes through advanced data capabilities and real time, actionable insights.

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 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