Business Intelligence Manager, Aop

DESCRIPTION AOP Analytics Operations and Programs team powers the Data and Insights for ROW Operations Team is responsible for development of business-critical BI and analytics solutions for Operations transcending all miles barring Supply chain This role is the single-threaded leader responsible for building reporting and analytics capabilities for Ship with Amazon for NA and EU and ROW finance which includes countries IN AU SG MX BR and AMET Key job responsibilities Key job responsibilities The incumbent is responsible to enable Operations teams meet their respective S-team VP goals and charters The incumbent is a trusted-partner to respective Operations teams by sharing business-leading insights and prescriptive actions - requiring the incumbent to be fully-aware of Org-level strategic direction key priorities and challenges LP Indexed Earn trust Primary objective of this role is to provide visibility on Operations performance and enable Operations to make data-driven decisions through developing i Reporting capabilities involving development of automated and self-service reports dashboards ii Analytics Capabilities involving building of tools science-based artefacts and defect attribution bridges Specifically the role is intended to i Own business critical xBR Peak Contingency reporting ii Be a partner in enabling launch of new programs features products by creating right metrics that showcase its adoption and success iii Build capabilities that benchmark and improve operations performance iv Build critical BI technology tools aiding metric optimization simulations real-time tracking and alerting v Build defect attribution bridges for key operations metrics to enable goal setting and tracking vi Build datasets on Operations performance for ROW finance and enable WBR reporting Another critical objective of this role is to drive BI Artefacts and Practice Standardization for ROW This will involve i Understand landscape and define the BI Standards ii Drive ROW-level Standardization of Key Artefacts iii Influence and execute on this agenda by partnering with other teams iv Set BI Engineering standards and practice for us to scale support non-linearly A day in the life A day in the life driving parity across marketplaces standardization and centralized development of capabilities are the guiding principles to scale the support non-linearly to newer scope and marketplaces The incumbent is staffed with a team of 10 members spread across India Blr Hyd locations The incumbent needs to decide right mix of job roles for the scope and right locations considering HC costs and outcomes The incumbent should actively provide career choice opportunities in line with the emerging aspirations of team members to have diverse exposure to analytics technologies and laterally move members to roles with high technical complexity e g BA - BIE BIE - DS The incumbent needs to keep the team motivated build and retain expertise codify processes for new employees to scale up and attract talent into the team Given wide number of stakeholders incumbent should balance their needs while maintaining work-life harmony of team members should drive a culture of celebrating wins small and large and recognition and foster strong collaboration across members LP Hire and Develop Strive to be earth s best employer About the team AOP Analytics Operations and Programs team powers the Data and Insights for ROW Operations Team is responsible for development of business-critical BI and analytics solutions for Operations transcending all miles The proposed role within AOP is a critical one requiring to lead FC Analytics for Row Geographies BASIC QUALIFICATIONS - 10 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 - Experience in delivering results managing a business intelligence or analytics team including employee development and performance management - Experience working directly with business stakeholders to translate between data and business needs - Experience with data visualization using Tableau Quicksight or similar tools - Experience in data warehouse technical architectures data modeling infrastructure components ETL ELT and reporting analytic tools and environments data structures and hands-on SQL coding PREFERRED QUALIFICATIONS - 10 years of working with very large data warehousing environment experience - 10 years of quantitative and qualitative data science business intelligence with significant business impact experience Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information If the country region you re applying in isn t listed please contact your Recruiting Partner