Sr. Manager Data Analytics and Insights- (Hybrid- Seattle, WA)

Nordstrom•Seattle, WA

2d•$131,500 - $210,500•Hybrid

About The Position

Nordstrom is looking for a Senior Manager, Data Analytics and Insights to lead a team that turns enterprise data into decisions leaders can act on. This role sits at the center of Nordstrom's data ecosystem, partnering with Finance, Product and Engineering teams to define what to measure, build the reporting and analytics infrastructure that measure it, and translate results into clear recommendations for senior leadership. You'll manage a team of analysts and analytics managers, set the technical and analytical bar for the group, and be a trusted voice on how Nordstrom uses data to run the business and make it better.

Requirements

Bachelor's degree in a STEM fields (Engineering, Statistics, Economics, Data Science, or related); Master's preferred.
8+ years of progressively responsible experience in analytics, business intelligence, or data science, including 3+ years directly managing analysts or analytics managers.
Deep hands-on fluency with SQL and BI/visualization tooling (e.g., Looker, Oracle, Tableau, or equivalent); comfort with Python or R a plus.
A track record of translating complex data into business recommendations that executives act on.
Experience partnering with data engineering/platform teams on data pipelines, quality, and governance.
Strong people-leadership skills and the ability to operate credibly from analyst level up through senior leadership.

Nice To Haves

Retail, e-commerce, or omnichannel analytics experience preferred but not required.

Responsibilities

Own the roadmap for a portfolio of analytics and reporting products, prioritizing based on business impact and stakeholder needs and enterprise priorities.
Partner with Insights Delivery, Data Platform Enablement, and business stakeholders to scope requirements and ship dashboards, models, and self-service tools.
Translate ambiguous business questions into structured analyses, clear metrics and simplified decision-ready narratives for executive audiences.
Serve as the analytics thought partner to senior business leaders, proactively surfacing insights rather than waiting to be asked.
Align with and influence where needed - Product, Data Platform, Engineering, and Governance teams to ensure reporting is built on trusted, well-governed data sources.
Represent Analytics & Insights in cross-functional planning routines (e.g., WBR/MBR reporting, peak readiness, strategic planning).
Coach and develop a team of data analysts and analytics managers; set clear goals and give candid, regular feedback.
Raise the bar for analytics quality, storytelling, stakeholder management, and technical execution across the team by encouraging experimentation with new tools, workflows, AI-enabled capabilities, and improved approaches for delivering insights more efficiently and effectively.
Build a team culture that balances rigor with speed, and that scales good analytics practice across the org in a positive way.
Establish and maintain standards for metric definitions, data quality, and reporting consistency across the team's products.
Identify opportunities to modernize legacy reporting and retire redundant or low-value dashboards.
Stay current on emerging analytics and AI-enabled tooling and evaluate it for adoption where it improves speed, accuracy, and scalability ultimately building trust and wide adoption.