Bie Delivery Manager, Finance Operations, Global Data Analytics @ Amazon

Job Description

Join one of Amazons most impactful analytics organizations, empowering the worlds largest Accounts Receivable and Payable departments through advanced data capabilities and real-time, actionable insights. Our Global Data Analytics (GDA) team is the trusted analytics partner for Finance Operations, providing data-driven solutions across global service centers and functions. We are custodians of data and metrics definitions, applying scientific methods to large-scale transactional processes. Were seeking an exceptional Business Intelligence Engineering Manager to lead and develop our team of 15 BIEs across multiple global locations. Youll drive engineering excellence in data visualization, pipeline development, and analytics solutions while managing one of the largest BI engineering practices in Finance Operations. Key Responsibilities
Lead and develop a global team of Business Intelligence Engineers, fostering technical excellence and career growth
Drive architectural decisions for data pipelines, semantic layer objects, and visualization solutions serving massive-scale AR/AP operations
Spearhead the migration from Tableau to QuickSight while ensuring business continuity
Establish and evolve BIE best practices, particularly in AWS native technologies and AI integration
Provide technical leadership in scripting excellence and data pipeline optimization
Partner with business analysts and the Science & AI team to deliver high-impact solutions
Develop and execute training programs for the broader analytics community Why Join Us?
Lead a team at the heart of Amazons financial operations
Drive innovation using leading-edge AWS technologies and AI
Shape the future of financial analytics at global scale
Develop your career at one of the worlds most innovative companies
Work with diverse, talented teams across the globe 7+ years of business intelligence and analytics experience
5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
7+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software 4+ years of working with very large data warehousing environment experience

Job Classification

Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: Analytics / BI Manager
Employement Type: Full time

Contact Details:

Company: Amazon
Location(s): Hyderabad

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Keyskills:   SAS Performance management Architecture Data modeling Machine learning Data structures Business intelligence Business continuity MATLAB Python