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:
DICK’S Sporting Goods is seeking a strategic and highly experienced Lead Data & Insights Analyst to support our Teammate Analytics - Operations organization with a concentrated focus on store inventory accuracy, shrink analytics, RFID technology, and inventory movement across the store network. This role will also flex into broader operational domains including labor, store processes, eComm fulfillment, and in‑store logistics.
The ideal candidate brings deep analytical expertise, strong operational intuition, experience with inventory processes—from cycle counts using RFID to store transfers and store-pickup—combined with the ability to tell a clear, compelling story that influences senior leadership.
JOB PURPOSE:Sitting at the intersection of Store Operations, Supply Chain, Merchandising, and Technology, the Lead Data & Insights Analyst drives end-to-end analytical strategy with an inventory first lens. They leverage data to improve inventory accuracy, optimize intrastore and interstore product flow, enhance shrink visibility, and support emerging inventory technologies.
In this role, the Lead Data & Insights Analyst partners with operations leaders, technologists, data engineers, and business stakeholders to define measurement strategies, uncover insights, guide test-and-learn programs, and shape data-driven decision making. They operate with autonomy, own complex workstreams, and serve as a trusted advisor to business and technology partners within a domain, and are recognized by partners for deep knowledge and expertise in data domains and analytical best practices.
With little guidance, and primarily operating autonomously in work creation, stakeholder engagement and process development, this individual is responsible for developing strategic analyses rooted in data, servicing ad-hoc analytics requests and stakeholder questions, and contributing to analytical initiatives and deliverables. The Lead Data & Insights Analyst is also responsible for coaching and upskilling more junior analysts, without direct managerial responsibilities.
Business Stakeholder & Strategy Support
Serve as a strategic advisor to Store Ops, LP, Supply Chain, Merchandising, and Technology leaders
Translate complex data into actionable insights that inform operational strategy, particularly concerning store inventory but inclusive of general processes
Lead proactive discoveries to identify opportunities and diagnose root causes in store inventory, store-to-store transfers, fulfillment accuracy, and receiving processes.
Partner closely with Data Engineering to define data model requirements, prototype inventory performance reporting, and shape scalable pipeline needs for inventory datasets (RFID, cycle counts, transfers, ASN alignment, etc.).
Analytics & Measurement
Function as the subject matter expert for store-inventory analytics, shrink, and store logistics, while supporting broader operations domains as needed.
Design and execute complex analytical work—including variance analysis, regression, segmentations, and test measurement frameworks (A/B, Diff-in-Diff, and natural experiments).
Lead the design, measurement, and interpretation of in-store experiments, including technology and process initiatives (RFID enhancements, fulfillment process changes, receiving or transfer procedures).
Build and maintain common inventory metrics, definitions, and benchmarks to create a clear and consistent operational measurement framework across the enterprise.
Perform advanced data analysis using SQL (GCP or Databricks), Python/R, and related tools to produce impactful insights with clear, actionable recommendations.
Partner with Data Science and Technology teams to support model development (forecasting, allocation logic, shrink prediction, inventory optimization) and inform measurement strategies.
Team Leadership & Development
Assist managers in mentoring and coaching analysts across the organization in analytical best practices, inventory measurement, and tooling.
Elevate analytical maturity across Store Ops by establishing repeatable frameworks, reusable code, and consistent inventory measurement practices.
Lead knowledge-sharing efforts on inventory accuracy, shrink analytics, RFID data structures, and operational test design.
Industry Knowledge & Benchmarking
Mentor and coach analysts across the organization in analytical best practices, inventory measurement, and tooling.
Elevate analytical maturity across Store Ops by establishing repeatable frameworks, reusable code, and consistent inventory measurement practices.
Lead knowledge-sharing efforts on inventory accuracy, shrink analytics, RFID data structures, and operational test design.
Technical Skills:
Advanced SQL; advanced R and/or Python
Strong experience in Databricks, GCP, or Azure
Deep expertise with BI tools (Tableau, PowerBI, Qlik)
Mastery of test-and-learn design (A/B, MVT, DiffinDiff) and tools (APT/MarketDial preferred)
Inventory & Operations Expertise:
Experience with inventory accuracy analytics, shrink measurement, cycle counting, RFID, inventory reconciliation, and store receiving/transfers
Understanding of allocation, replenishment, and store/DC handoff processes
Background in evaluating fulfillment accuracy (BOPIS, ship-from-store) and process defects
Analytical Skills:
Data model development
Econometric and regression modeling
Forecasting, simulations, segmentation, clustering
KPI creation, rationalization, and metric stewardship
Communication & Influence:
Exceptional ability to translate analysis into clear narratives
Skilled in executive storytelling, PowerPoint development, and data visualization
Proven ability to influence senior leaders
Experience:
6+ years in analytics with 2-4 years supporting retail, merchant operations, inventory, or supply chain
Retail or B2C environment strongly preferred
QUALIFICATIONS:
General Education
Bachelor's Degree or Equivalent Level Preferred in Economics, Statistics, Liberal Arts or Related Field
General Experience
6+ Years of Experience
SQL, R, Python, experience with BI tools (Tableau, Qlik, PowerBI); Testing and Optimization Tools; GCP or Azure Experience
#LI-FD1
VIRTUAL REQUIREMENTS:
At DICK’S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.
To ensure a smooth and secure experience, please note the following:
Cameras must be on during all virtual interviews.
AI tools are not permitted to be used by the candidate during any part of the interview process.
Offers are contingent upon a satisfactory background check which may include ID verification.
If you have any questions or need accommodations, we’re here to help. Thanks for helping us keep the process fair and secure for everyone!
Targeted Pay Range: $76,500.00 - $124,600.00. This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all teammate pay regularly to ensure competitive and equitable pay.DICK'S Sporting Goods complies with all state paid leave requirements. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.
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