Senior Data Analyst, Supply Chain

Foot Locker•,

6d•$90,000 - $110,000

About The Position

We are seeking a results-driven Senior Data Analyst to join our Supply Chain analytics team within our Enterprise Data & Analytics organization. This role will be instrumental in transforming complex datasets into actionable insights, enhancing the quality/usage of our existing data & BI products and analytics services, and building new capabilities. This role is pivotal in driving data-informed decision-making across the organization with a focus on providing the business with actionable insights to inform Supply Chain strategy.

Requirements

Bachelor’s or Master’s in Computer Science, Statistics, Analytics, Finance, Business, Engineering, or a related field.
4+ years of relevant experience in data analytics
Advanced proficiency in SQL, Excel and Power BI; Python is a plus
Strong analytical skills with the ability to interpret complex data and provide actionable insights
Excellent verbal & written communication with both technical and business teams
Excellent stakeholder management skills
Must be highly motivated and be able to work both independently and in a team environment
Learner mindset
Strong project management skills with the ability to handle multiple priorities
Knowledge of retail concepts, and ability to understand and work with retail data

Responsibilities

Lead the design and implementation of complex analytical projects from inception to completion
Transform and distill high complexity/high impact business inquiries into innovative analytic solutions, aligning both data teams and business clients on approach
Mentor and provide guidance to junior analysts, fostering a culture of continuous learning
Collaborate with IT and data engineering teams to ensure data infrastructure supports analytical needs
Communicate findings and strategic recommendations to leadership through reports and presentations
Utilizing SQL, Power BI and other analytical toolsets, to support Supply Chain teams’ analytical requests
Conceptualize, build and operationalize data products per business needs and requirement. Ability to lead a group of Data Analysts, Data Scientists, Data Engineers and BI Engineers
Research and troubleshoot problems & questions related to deployed analytical solutions
Maintain knowledge on the latest data technology and best practices
Maintain knowledge on the latest retail trends in industry
Perform other related duties as assigned