Business Intelligence Engineer, Finance Operations, Global Data & Analytics (GDA) team

- Bachelor's degree in Computer Science, Engineering, Math, Finance, or related discipline
- Relevant professional experience working with large data sets and writing complex SQL queries to pull data
- Relevant experience in a Business Analyst or BI Engineer role
- Proficient, professional, in-depth working knowledge of Tableau / QuickSight
- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner

- Relevant experience in business intelligence or business analyst role, including data warehousing and business intelligence tools, techniques and technology
- Data engineering credentials; working knowledge of a programming language (JAVA/PYTHON/SCALA)
- Experience with Star Schemas, Dimensional Models, Datamarts in Traditional Data Warehouses as well as in Big Data / Advanced Analytics domains
- Advanced analytical skills and is detail-oriented, while also seeing and understanding the big picture
- Effective verbal and written communication to senior audiences, including strong data presentation and visualization skills
- Experience working with cloud database technologies such as Amazon Redshift, RDS or Azure DW
- Experience managing Tableau site and troubleshooting dashboard/site performance


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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 and deeply focused Business Intelligence Engineer who can build reporting objects, and uses analytics to influence business outcomes. The role will develop analytical 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 Centers.

Key job responsibilities
• BI Governance and Compliance - data segregation, access management, code governance, GDPR, HR Privacy Compliance
• Build and manage Tableau and QuickSight dashboards
• Optimize and organize data pipelines into the visualization environment
• Collaborate with business users on requirements, objectives and measures
• Access and use analytical tools (various databases on Amazon’s data, SQL).
• Provides input and recommendations on technical issues to data engineering team
• Reviews technical work of other team members, provide improvement advice
• Significantly contribute to data design, data modelling and data extracts/transforms
• Develop implementation and operation support plans for QuickSight
• Work in a genuinely global environment, e.g. with USA and India

A day in the life
The Business Intelligence Engineer will be in charge of building high-performing analytics products relying on SQL, Excel and Tableau / QuickSight. 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. SQL skills (Intermediate / Expert level) is a must to deliver on Job 1 in this role.

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.

Any prior exposure in Finance Operations, underlying processes, banking sector exposure is an added advantage.