Sr. Data Analyst
$95k - $115kFoot Locker
Hybrid (3 days in NYC office) At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). Overview We are seeking a results‑driven Senior Data Analyst to join our Merchandising, Planning, Allocation & Replenishment analytics team within our Global Data & Analytics organization. This role will transform complex datasets into actionable insights, enhance the quality of existing data products and analytics services, and build new capabilities. This role is pivotal in driving data‑informed decision‑making across the organization with a focus on providing business insights to drive inventory optimization, assortment strategies, and overall performance. Great brands reflect culture. The best ones help shape it. At Foot Locker, we’re rooted in sport, powered by style, and driven by the communities that move both. From Foot Locker and Kids Foot Locker to Champs Sports, WSS, and atmos, our brands sit at the intersection of sport, style, and self‑expression. As part of the DICK’S Sporting Goods family, you’re backed by the resources, reach, and career opportunities of a world‑class sports company. Responsibilities Lead the design and implementation of complex analytical projects from inception to completion. Transform and distil high‑complexity business inquiries into innovative analytic solutions, aligning data teams and business clients on approach. Mentor and provide guidance to junior analysts, fostering 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. Utilize SQL, Power BI and other analytical tools to support Merchandising, Planning, Allocation & Replenishment teams’ analytical requests. Conceptualize, build and operationalize data products per business needs and requirements. Lead a group of Data Analysts, Data Scientists, Data Engineers and BI Engineers. Interact effectively with business, technical and functional teams; act as liaison between business and IT for requirements and design. Research and troubleshoot problems and questions related to deployed analytical solutions. Maintain knowledge of the latest data technologies and best practices. Stay informed on the latest retail trends in the industry. Perform other related duties as assigned. Qualifications 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 proficiency is a plus. Strong analytical skills with the ability to interpret complex data and provide actionable insights. Experience with AI tools/methodologies such as prompt engineering, generative AI, NLP, and AI model training is a big plus. Excellent verbal and written communication with both technical and business teams. Excellent stakeholder management skills. Highly motivated, able to work independently and in a team environment. Learner mindset; able to think creatively and critically. Strong project management skills with the ability to handle multiple priorities. Knowledge of retail concepts and ability to work with retail data. Benefits The annual base salary range is $95,000 – $115,000 per year. This range represents the anticipated low and high end of the salary for this position. This role is also eligible to receive short‑term incentives that align with individual and company performance. Salary will be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Foot Locker Benefits Employee Discount Paid Time Off Medical, Dental and Vision Coverage 401(k) and Roth 401(k) Life Insurance Flexible Spending Account Opportunities for Advancement Tuition Reimbursement for Qualified Courses Strong Company Culture #J-18808-Ljbffr
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