Senior Store Capacity Analyst

DICK'S Sporting Goods

Coraopolis (Allegheny County)

On-site

USD 65,000 - 80,000

Full time

14 days+

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Job summary

A leading sporting goods retailer seeks a Senior Store Capacity Analyst to analyze product and store capacity data. Responsibilities include developing capacity targets and communicating insights across departments. Ideal candidates will have 3-5 years of relevant experience, a Bachelor's degree, and proficiency in Excel and BI tools. This full-time role is based in Coraopolis, PA.

Qualifications

3 - 5 years of experience in Space Planning, Store Design, or related role.
Strong analytical and technical problem-solving skills.
Space management experience is strongly preferred.

Responsibilities

Develop and analyze product and store capacity data.
Communicate actionable insights effectively across levels.
Collaborate with cross-functional stakeholders on capacity analysis.

Skills

Data analysis

Communication skills

Problem-solving

Attention to detail

SQL/data query

Education

Bachelor's Degree in Business Management, Merchandising, Analytics, Supply Chain

Tools

Excel

BI Tools

Job description

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At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!

Overview

Job Duties & Responsibilities

Data Analytics

Develop and analyze product and store capacity data identifying outliers, patterns, and indicators that inform capacity allocation decisions
Demonstrate the ability to “connect the dots” between various business functions, data and outcomes
Dive into complex data sets to analyze trends, identify opportunities, and quantify the potential value of new initiatives
Develop capacity targets through analysis of fixtures, products, store environments, and visual standards.
Create unit capacity reporting for all front-of-house and back-of-house departments
Build a maintain a quality assurance program surrounding fixture dimensions and unit capacity standards, identifying and addressing issues to ensure accuracy in all downstream processes
Partner with Merchandising Operations and Technology teams to validate the alignment of unit capacity data and develop automated processes to enhance operational efficiency
Identify and implement process improvements translating complex data sets into simplified, and actionable frameworks

Continuous Improvement

Ability to access, analyze and use information in a manner that adds value to the organization
Conduct thorough analysis to continually improve capacity utilization; and possess the ability to identify gaps and propose solutions to business needs

Cross Functional Partnership & Communication

Effectively communicate actionable insights
Prepare and deliver clear and concise reports, charts, tables and presentations on findings and recommendations to support business decisions across multiple levels of leadership
Collaborate with cross-functional stakeholders to formulate capacity analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
Partner with Merchandising Operations, Technology and Data Engineering teams to operationalize insights
Strong Athlete focus and ability to meet their needs as a primary driver of one's actions
Develop and sustain productive cross-functional, internal relationships

Qualifications

Bachelor's Degree in Business Management, Merchandising, Analytics, Supply Chain, or related Business Field
3 - 5 Years of experience in Space Planning, Store Design, Merchandising, Finance, Buying, Inventory management, or related role
Excel and BI Tool proficiency (required)
Detail-oriented, with strong analytical, technical and problem-solving skills
Space Management Experience (strongly preferred)
Financial modeling experience a plus
Communication & Presentation Skills
SQL / data query
Retail Store Operations Experience (desired)
Previous experience with retail analytics preferred

Seniority level