Sr. Data Analyst

Foot Locker, Inc.
New York, NY, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$95,000.0 - $115,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis Information Engineering Data Infrastructure Python (Programming Language) Machine Learning Natural Language Processing Power BI SQL Databases Prompt Engineering Generative AI
+3 more
Information Technology Data Analytics GPT

Job description

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). 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 be instrumental in transforming complex datasets into actionable insights, enhancing the quality/usage of our existing data 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 drive inventory optimization, assortment strategies, and overall business 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. That unleashes Foot Locker to keep pushing forward with the agility and edge that define the brand. We’re looking for great people who want to influence culture and the generation that is shaping what’s next.

Whether you’re building strategy, shaping innovations, or creating unforgettable customer moments, you’ll contribute to decisions and experiences that define our brands’ impact in the communities we serve., * 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 Merchandising, Planning, Allocation & Replenishment 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.
  • Strong ability to interact with business, technical and functional teams. Act as a liaison between the business and IT for requirements and design.
  • 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, 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). At Foot Locker, we value innovation, authenticity, and integrity in all that we do. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools, including ChatGPT, during interviews and assessments. To ensure a smooth and secure experience, please review the following guidelines:

  • Cameras must be on for all virtual interviews.
  • AI tools are strictly prohibited during interviews or assessments.

Requirements

Do you have experience in Stakeholder relationship building?, * 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
  • Experience with AI tools/methodologies, such as prompt engineering, generative AI, NLP, and AI model training a big plus.
  • 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. Must be able to think both creatively and critically
  • Strong project management skills with the ability to handle multiple priorities
  • Knowledge of retail concepts, and ability to understand and work with retail data
  • Must be highly motivated and be able to work both independently and in a team environment

Benefits & conditions

Pulled from the full job description

  • Tuition reimbursement
  • 401(k)
  • Health insurance
  • Paid time off
  • Employee discount
  • Vision insurance
  • Dental insurance, The annual base salary range is $95,000 - $115,000 / 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. Salary is one component of the Foot Locker, Inc. total compensation package, which includes the below. Foot Locker Benefits:

  • Employee Discount
  • Paid Time Off
  • Medical Dental Vision Coverage
  • 401(k) Roth 401(k)
  • Life Insurance
  • Flexible Spending Account
  • Opportunities for Advancement
  • Tuition Reimbursement for Qualified Courses
  • Strong Company Culture

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:18 min

Introduction to data science applications in the retail sector

Julian Joseph · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · WWC 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

Videos

See all

Related articles

See all