Business Intelligence Manager, Global Risk Intelligence
Amazon.com
The Intelligent Talent Acquisition (ITA) organization develops data solutions for all aspects of hiring across Amazon. Joining ITA is your opportunity to make an impact across multiple layers of the company and the workforce. Amazon’s mission is to be the most customer centric company in the world and ITA supports our Talent Acquisition (TA) organization of the mission by hiring hundreds of thousands of hourly associates and corporate employees across multiple types of roles and businesses. The Global Risk Intelligence team (GRI) provides the data, science, and tools to support hiring over 1MM hourly associates every year, ensuring Amazon is able to meet it’s delivery speed goals, as well as helping choose new locations for Amazon logistics buildings. We are looking for an experienced Business Intelligence Manager to work with our engineers and leadership team. The ideal candidate will have a natural curiosity about solving problems, identifying the right metrics to inspect the business, and to help leaders make great data driven decisions. You will work with a highly collaborative team, and have direct influence over analytical roadmaps, establishment of key performance metrics, dashboards and report development. You’ll be responsible for working with senior leadership to provide analytics to build predictive modeling and insights into Workforce Staffing's Site Selection and Fill Risk Management use cases.
Successful attributes include: effective communicator and leader of various levels and audiences, the capacity to remain flexible and adept at learning new tools, and the facility to implement new systems within a team atmosphere.
Our environment is deadline driven and fast paced and therefore requires detail-oriented individuals comfortable interacting or working with multiple teams (business and technical). As you further your career as a Business Intelligence Manager, you will focus on improving corporate reporting frameworks and data visualization. You will build capacity solutions for the growing managed businesses. You will solve real world problems and build metrics and business cases to improve decision making.
Key job responsibilities
* Centralize reporting and synthesize insights to deliver predictive insights and recommendations for optimization.
* Build solutions and drive strategies for organizational wide operational excellence and operational programs to evolve day to day reporting mechanisms
* Work with teams from across Amazon to improve data quality within their respective products and platforms
* Work with software developers / data engineers to improve data quality and drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.
* Champion and actively develop a data-centric approach, acting as coach, mentor, champion and in-house expert within the WFI team
* Be a “do-er” as well as a leader
* Be a data and analytics expert that your team can turn to for assistance. Be able to produce individual analytics and guide individual contributors across the team.
Successful attributes include: effective communicator and leader of various levels and audiences, the capacity to remain flexible and adept at learning new tools, and the facility to implement new systems within a team atmosphere.
Our environment is deadline driven and fast paced and therefore requires detail-oriented individuals comfortable interacting or working with multiple teams (business and technical). As you further your career as a Business Intelligence Manager, you will focus on improving corporate reporting frameworks and data visualization. You will build capacity solutions for the growing managed businesses. You will solve real world problems and build metrics and business cases to improve decision making.
Key job responsibilities
* Centralize reporting and synthesize insights to deliver predictive insights and recommendations for optimization.
* Build solutions and drive strategies for organizational wide operational excellence and operational programs to evolve day to day reporting mechanisms
* Work with teams from across Amazon to improve data quality within their respective products and platforms
* Work with software developers / data engineers to improve data quality and drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.
* Champion and actively develop a data-centric approach, acting as coach, mentor, champion and in-house expert within the WFI team
* Be a “do-er” as well as a leader
* Be a data and analytics expert that your team can turn to for assistance. Be able to produce individual analytics and guide individual contributors across the team.
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