About the position

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.

Responsibilities

• 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.).
• 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.
• 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.
• 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.

Requirements

• 6+ Years of Experience
• SQL, R, Python, experience with BI tools (Tableau, Qlik, PowerBI); Testing and Optimization Tools; GCP or Azure Experience

Nice-to-haves

• 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)
• 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