WHO WE ARE LOOKING FOR

We are searching for a Global Lead Data Analyst who will drive operational excellence by providing critical expertise in Reporting, Analytics, Data Architecture & Data Visualization! You will create, gather, analyze and visualize data necessary for our stores across the globe to improve their business and serve the consumer. You’ll work collaboratively with key partners to determine reporting and visualization methodologies as well as automating data capture from various sources.

You’ll partner with the technology, finance, operations and analytics teams to execute against our strategic roadmap and ensure the success of programs, tools, services and spaces in our retail stores.

This role requires a strong combination of financial, analytical, leadership and communication skills. The person we seek will be a self-starter with the tenacity to move ideas into action, and ability to work closely with cross functional teams to ensure transparency and connectivity. The right candidate will deliver comprehensive, data-driven storytelling incorporating strong analytical thinking and a passion for retail. 

WHAT YOU WILL WORK ON

You will work on developing specific strategies around Global Store Reporting with responsibilities which include to: 

• Build cross-functional partnerships to drive global stores business insights while identifying opportunities to further enhance the ability of stores to make data driven decisions.
• Assess current reporting landscape to determine a data visualization and reporting roadmap
• Develop, maintain and evolve a statistical retail index score framework in tandem with 
• Ability to recommend and implement data automation for a variety of store reports

WHO YOU WILL WORK WITH

You will partner closely with global/geo finance and stores teams to provide global reporting and analytical support to monitor store performance and call out opportunities for improvement. You’ll support global budgeting and forecasting processes while regularly communicating to key partners. 

WHAT YOU BRING

• Bachelor's degree or higher; or combination of relevant education, experience and training
• Advanced experience with Excel, SQL & data visualization (preferably Tableau)
• Intermediate literacy and experience with Python and/or other languages used for statistical modeling and data engineering
• High level understanding of end to end data architecture and best practice
• 5 years analytics/reporting experience
• Superior writing, communication, and presentation skills
• Ability to work with high degree of independence while managing upward communication to management
• Demonstrated ability to complete quantitative and qualitative analysis
• Experience building technical, process and/or program materials

Highly Preferred:

• Understanding of retail store systems and equipment recommended
• Previous experience working on a global team/across multiple geographies valued
• Ability to travel 5% and work occasional early mornings, evenings and weekends

We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.