Data Analyst

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. Everyone plays a critical role to bring our mission to life. 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. We welcome and embrace diversity of background, thought and opinion while having a lot of fun along the way.

Job Overview
The Data Analyst will work within the Bloomingdale's Data & Analytics Team to build reporting and generate insights for our business stakeholders that allow them to assess the success of and make improvements to marketing tactics and site performance. The Data Analyst will collaborate with many teams across every function of the business and will build key reporting & dashboards to drive business decisions and operational processes. This role will combine a strong set of technical skills with a high level of business acumen and collaborative communication to deliver insights that allow our stakeholders to make informed and dynamic business decisions.

Essential Functions

• Translate business needs into well-defined analytics projects
• Execute advanced analytics, business intelligence (BI), and reporting that aids data-driven business decision making and process automation
• Cross-communicate between analysts and business teams, including senior leaders
• Think logically toward problem solving with keen insights for business solutions and the analytical steps required to execute them through dashboards and reports
• Work with the Data Engineering team as required to implement data pipelines and tools to ensure efficient and seamless execution of analytics
• Using customer value segmentation and customer lifetime value to target different customer groups and implement individualization efforts in our business
• Community builder to foster data and analytics culture and to support data-driven thinking and discussions across priority analytics use case
• Be entrepreneurial, agile, and results-oriented
• Support businesses in data & analytics capability building, and embody data-driven culture at Macy's
• Support user adoption of analytical tools and methods and embrace data in strategic business decisions

Qualifications

• Bachelor's degree required, preferably in engineering, business, finance, data science, computer science, or other relevant fields of study
• Demonstrated track record of proficiency working in advanced analytics (1-2 years minimum)
• SQL experience required; Python preferred
• Familiarity with visualization tools such as Tableau, Power BI or Looker
• Ability to conduct qualitative market research and perform qualitative analysis, identify trends and patterns in the data and tell a compelling story through visualization and presentation
• Experience in leveraging data cleaning, transformation, analytics and reporting from large data sets to support use cases and drive business value
• Experience with Cloud (GCP, Azure, AWS) and big data processing technologies (Redshift, Big Query) is a plus
• Excellent communication skills, especially when it comes to requirements gathering, communicating with stakeholders, and summarizing and presenting analysis
• Ability to think creatively, strategically and technically

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