Business Analyst Senior, Digital Merchandising, Reporting & Optimization, Nordstrom.com (Hybrid - Seattle, WA)

Nordstrom•Seattle, WA

4d•Hybrid

About The Position

The Reporting & Optimization team supports our digital channels (N.com and R.com) by delivering reporting on digital, merchandising, and customer outcomes and developing data acumen throughout the organization to enable insights that drive the digital business forward. The Business Analyst Sr. will contribute to this mission by partnering with our Product, Analytics, and Engineering partners to build reporting tools, train teams on their use and best practices, and provide ad hoc analytical support to our business stakeholders. While this role will focus on N.com, many of the tools and insights our team delivers are applicable to both channels. The ideal candidate for this role is an exceptional communicator with a passion for data and analytics. They must be able to understand and manage complex tools and processes while also providing excellent customer service to our business teams.

Requirements

2+ years of corporate experience building reporting tools, analyzing complex data, and summarizing insights (digital retail a plus)
Strong interpersonal, oral and written communication skills, especially the ability to convey technical information to non-experts
Curiosity to learn complex processes, identify inefficiencies, and develop solutions
Desire to work closely with stakeholders and cross-functional partners to develop subject-matter expertise and build trust
Proficiency in MS Office Suite (i.e., Excel, PowerPoint) required
Experience querying, analyzing, and visualizing data preferred (e.g., SQL, Tableau, Looker, think-cell)

Responsibilities

Manage the development of reporting and tools that guide action and drive results for the digital business
Maintain consistent touchpoints with business teams to understand their needs and how our reporting and tools can better serve them
Collaborate with cross-functional partners in product, analytics, and engineering to deliver accurate, sustainable, and actionable data to our stakeholders
Develop learning materials and lead training sessions and office hours to educate business teams on reporting and tools
Conduct ad hoc analyses to provide insights to business teams beyond the scope of conventional reporting
Leverage AI tools to streamline workflows and deliver better products faster