Data Analyst 3 - Supply Chain Planning

Nordstrom; Seattle (WA); On-site; USD 103,000 - 171,000; Full time

Benefits offered by this job

Medical/Vision, Dental, Retirement and

Paid Time Away

Life Insurance and Disability

Merchandise Discount and EAP Resources

Job summary

Nordstrom seeks a senior Data Analyst 3 to own planning analytics and contribute to an LLM-powered knowledge platform. You’ll build and maintain AI-driven content, pipelines, and dashboards, collaborating with data engineers and planners to ground AI outputs in real operations.

You’ll use Python, SQL, and BigQuery to deliver weekly/ monthly planning insights, while shaping governance and quality controls across the analytics stack.

Qualifications

• Degree in Finance, Statistics, Mathematics, Analytics, Computer Science, or related field required
• 4+ years of data analytics experience; demonstrated ability to deliver business-critical analytics independently
• Hands-on experience with AI-assisted development and productivity tools to accelerate analysis
• Practical experience working with LLM-based systems — prompt design, tool definitions, retrieval patterns, evaluation frameworks
• Advanced SQL skills with BigQuery experience; data warehousing and dimensional modeling
• Experience building data pipelines and lightweight automation in Python
• Proficiency with Looker or other visualization tools and operational dashboarding
• Strong operational business understanding and impact of planning cadence on cost/service
• Supply chain analytics experience in retail or consumer goods preferred
• Strong written and verbal communication to present findings to leadership

Responsibilities

• Build and maintain AI knowledge base with validated SQL, business rules, glossary definitions and tool library
• Run and extend evaluation and quality controls for the AI platform; write test cases and diagnose issues
• Develop and maintain Python tooling and automation to keep knowledge base current
• Propose and prototype new agent capabilities and planning domains
• Own and maintain core planning analytics deliverables — BigQuery pipelines and dashboards
• Create reusable data models and SQL patterns powering self-serve analytics
• Execute ad hoc analyses to resolve planning risks and answer executive questions
• Identify new KPIs across outbound/inbound logistics, inventory, returns and capacity
• Support weekly business rhythms and collaborate with planners and stakeholders
• Champion data quality and governance within Ops Planning with cross-team collaboration

Skills

SQL

Python

Data modeling

AI-assisted development

LLM-based systems

BigQuery

Looker/Tableau dashboards

Communication

Operational business understanding

Education

Bachelor's degree in Finance/Statistics/Mathematics/Analytics/CS

Tools

Looker

Tableau

BigQuery

Job description

Job Description

Nordstrom is committed to being the leader in Omnichannel retailing. We have long recognized the importance of having strong capabilities in both Physical and Digital retailing and we continue to innovate on how we can help our customers Feel Good and Look Their Best.

The Data Analyst 3 is a senior individual contributor on the Supply Chain Operations Planning analytics team, anchored in core planning analytics with a significant and growing focus on applied AI. On the applied AI side, you’ll be a key contributor to a live, LLM-powered platform for supply chain intelligence — building and maintaining the knowledge base, tool library, and quality controls that make the agent trustworthy, accurate, and genuinely useful to planners and leaders. This is hands‑on applied‑AI work that teams already rely on, not a research experiment and not a maintenance seat. On the analytics side, this role owns dashboards, data pipelines, variance analysis, and the underlying data models that power weekly and monthly planning cycles — and that foundational analytics work is inseparable from the AI platform: the domain expertise, SQL rigor, and data quality standards you build here are exactly what keeps the AI’s answers grounded in real operations.

You’ll operate at both ends of the spectrum: building and maintaining the planning analytics that planners and leaders depend on every week, and helping build out the LLM‑powered knowledge platform that turns validated business rules into trustworthy, self‑serve answers. Strong SQL, Python, and data‑modeling fundamentals are essential, along with genuine comfort using AI‑assisted development tools as part of a daily workflow and practical experience working with LLM‑based systems.

A day in the life…

• Build, maintain, and expand the AI knowledge base — authoring structured domain content (validated SQL, business rules, glossary definitions, workflow summaries) and curating the agent’s tool library so it answers planning questions accurately and confidently
• Run and extend the evaluation and quality controls for the AI platform — writing test cases, running evals, and diagnosing hallucinations and retrieval gaps, then closing them with better content or tooling
• Develop and maintain the Python tooling and automation that keeps the knowledge base current — freshness checks, extraction scripts, scheduled jobs that sync new data into the agent’s context
• Propose and prototype new agent capabilities with the team — new planning domains, retrieval patterns, and tool definitions — and help validate and ship them
• Own and maintain core planning analytics deliverables — BigQuery pipelines, Looker and Tableau dashboards, and the data models behind weekly and monthly Ops Planning cycles (WBR, MBR, forecast accuracy, variance reporting)
• Build the reusable data models, query libraries, and SQL patterns that power self‑serve analytics and provide the validated, authoritative source of truth the AI platform depends on
• Execute and support ad hoc analysis to resolve planning risks and answer executive questions, from diagnosing forecast misses to sizing the impact of operational decisions
• Identify and develop new measures and KPIs across outbound fulfillment, inbound receiving, inventory, returns, and capacity that improve planning visibility and decision quality
• Support weekly business rhythms and the creation of key planning deliverables; partner with planners and business stakeholders to understand evolving analytical needs
• Champion data quality and data governance within the Ops Planning team, coordinating with Data Engineering, Data Science, and Technology as needed

You own this if you have…

• Degree in Finance, Statistics, Mathematics, Analytics, Computer Science, or related field required
• 4+ years of data analytics experience; demonstrated ability to deliver business‑critical analytics independently and raise analytical standards across a team
• Hands‑on experience with AI‑assisted development and productivity tools (e.g., Claude Code, Claude Desktop) to accelerate analysis, automate data workflows, and produce higher‑quality output faster
• Practical experience working with LLM‑based systems — prompt design, tool/function definitions, retrieval patterns (RAG), evaluation frameworks, or curating structured knowledge for AI consumption
• Advanced SQL skills with hands‑on BigQuery experience; strong understanding of data warehousing, dimensional modeling, and query construction
• Demonstrated ability to build and maintain data pipelines and lightweight automation in Python, including validation, monitoring, and workflow scripts
• Proficiency with at least one leading visualization tool (Looker preferred) and best practices for operational dashboarding
• Strong operational business understanding, including the downstream effects of forecast accuracy, fulfillment decisions, and planning cadence on cost and service
• Supply chain expertise in retail or consumer goods preferred, with familiarity in outbound fulfillment, inbound operations, inventory, returns, or capacity planning
• Strong written and verbal communication skills; comfortable presenting findings to business stakeholders and operational leadership

Pay Range Details

$102,500.00 - $170,500.00 Annual

We’ve got you covered…

Benefits

• 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. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf

A few more important points...

The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.

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