Data Analytics Manager

About

Bloomingdale’s makes fashion personal and fun, aspirational yet approachable. Our mission is to guide and inspire our customers to make style a source of creative energy in their lives. We will always strive to make Bloomingdale’s like no other store in the world. Across all brand touchpoints — from Bloomingdales.com to our newest small store concept, Bloomie’s — everyone plays a critical role bringing our mission to life. Our inclusive culture promotes diversity of background, thought and opinion. Regardless of position, we believe all colleagues have a voice and access to share their thoughts with every level of leadership. Our colleagues are passionate, driven, entrepreneurial and collaborative, while having a lot of fun along the way.

Job Overview

Bloomingdale's is looking for a Senior Manager of Data Analytics to lead the company’s team in building industry-leading dashboards, reporting, and insights. They will lead the integration and development of advanced analytics across the Marketing, Digital and Customer functions. The ideal candidate will have the technical aptitude to work with the Data Science and Data Engineering teams to create seamless transitions across the functions that derive key insights for business users to leverage in a usable format for making decisions. In addition, it is critical that they can translate complex concepts into simple, actionable ways for business users to understand and execute. The candidate will possess strong communication and organization skills to execute both short- and long-term projects. The Senior Manager of Data Analytics will be responsible for working with a wide variety of both Macy’s and Bloomingdale’s colleagues and external vendors on data requirements to support strategic business needs and developing the expertise of a team of Data Analysts. This person will report to the Senior Director of Data Science, Engineering and Advanced Analytics.

Essential Functions

• Recruit, lead, coach, and mentor a team of talented data analysts across, Digital, Marketing, Customer, and DEI functions in ushering a new era of innovative analytics at the company. 
• Lead alignment of best-in-class analytics for Bloomingdale’s including coordination with leadership. 
• Mentor team members in translating business requirements into technical solutions in a way that is responsive to the needs of stakeholders. 
• Balance both leading a team and engaging directly with the work needed to accomplish the priority use cases to translate advanced analytics into key insights usable by business users. 
• Partner closely with Data Science, Data Engineering, Technology, and Business Units to drive adoption, integration of advanced analytics, statistics, and ML output into dashboards and reporting, as well as provide direct analytical support where needed.