Director, Data Analytics – Inventory Operations

Nordstrom

Director of Data Analytics leading Inventory Operations at Nordstrom, unifying data analytics for actionable insights and team collaboration.

Posted 7/31/2026full-timeSeattle • Washington • 🇺🇸 United StatesLead💰 $160,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data analytics and engineering teams, with a focus on building trust, collaboration, and high-performance standards. Proficient in developing data strategies that enhance decision-making through effective reporting and visualization.

Highest-signal resume keywords

Team LeadershipData Strategy DevelopmentBI Tools (Tableau, Looker)SQL and Python ProficiencyRoot-Cause Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Engineering FundamentalsETL/ELTCloud Data WarehousingPipeline ArchitectureAnalytics/BI Leadership

Soft Skills

Executive CommunicationCollaborationInfluenceAccountabilityStorytelling

Industry Keywords

Inventory OperationsSupply ChainRetailData AnalyticsBusiness Intelligence

Tech Stack

Tools & technologies

CloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Lead the integration of the Inventory Operations Data Analytics teams into one organization with a shared roadmap, shared prioritization process, and clear ownership and expectations.
Build and defend a unified data strategy for Inventory Operations: the pipelines and architecture that make data trustworthy, and the reporting and visualization layer that makes it usable by decision-makers who are not analysts.
Lead a combined organization of 10-15 team members, including a Manager of Data Analytics and individual contributors.
Balance team leadership with execution to deliver high-quality results while hiring, developing, and retaining a high-performing team.
Manage the weekly and monthly business review process for inventory data, including the metrics, the follow-up mechanism, and the discipline to keep it decision-focused rather than a status readout.
Identify root causes through analytics and either drive the fix directly or work through the accountable partner to make the improvement repeatable and scalable, rather than a one-time solve.
Reduce manual reporting load across the combined team by pushing toward automated, self-serve data products, and be explicit with your team and stakeholders about where AI and automation change how work gets done.
Represent Inventory Operations data capability in cross-functional forums with Merchandising and Technology partners and escalate risks and tradeoffs to leadership before they become surprises.
Establish a positive work environment conducive to collaboration and teamwork.
Ensure team has the tools, resources, and information they need to be successful.
Strategize with leadership to overcome potential stumbling blocks and resistance.

Requirements

What you’ll need

8+ years of relevant experience with 3+ years leading teams, including direct leadership of both analytics/BI and data engineering functions, or demonstrated fluency in managing both.
A track record of building highly functioning teams and leading through change
Working fluency in both technical languages: BI and visualization tools (Tableau, Looker, or similar) and data engineering fundamentals (SQL, Python, ETL/ELT, cloud data warehousing, pipeline architecture).
Outstanding executive communication and storytelling skills, with the judgment to know when a data engineering constraint needs to be translated into business terms for a non-technical audience.
Strong analytic and root-cause skills paired with the ability to demonstrate the value of a solution, not just diagnose the problem.
A history of building trust across functions and strong collaboration and influence skills.
Comfort holding teams accountable to a shared standard and setting clear expectations across the team.
Experience leading a mixed structure, some direct reports who are individual contributors and at least one who is a people manager, and a clear point of view on when a discipline needs its own management layer versus when it doesn't.
Bachelor's degree or higher in Computer Science, Analytics, Supply Chain/Logistics, Business Administration, Economics, or a related field, or equivalent experience.
Retail or supply chain experience strongly preferred, given the operational stakes of inventory decisions on customer experience.

Benefits

Comp & perks

Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
This position may be eligible for performance-based incentives/bonuses.
Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more.