Data Analyst 3, Merchandising Customer Insights (Hybrid, Seattle)

About the role

The Customer Insights & Analytics team strives to make Nordstrom the best data-driven fashion retailer among competitors by rigorously and thoughtfully applying data science to unlock value for the enterprise. We focus on three business outcomes: more customers, happier customers, and more engaged customers.

The Data Analyst 3 – Merchandising Customer Insights will be a key contributor on a squad of highly skilled data analysts focused on harmonizing customer insights through the lens of our product offer. This role supports operational decision-making by category and division merchandising leaders and helps grow and scale a new insights domain with focus areas including competitive pricing and promotions, category and brand insights, and category planning.

Success in this role comes from being an effective partner to merchandising leaders, storytelling for internal decision-making and Nordstrom's brand partners, and creating connective tissue between the Nordstrom Merchandising Group (including Nordstrom Product Group), Digital Merchandising, and Marketing. This individual should have a high degree of curiosity about the business, the skills to discover impactful insights from data, and the ability to communicate those insights in a way that builds confidence and drives business value.

Responsibilities

• Partner with key stakeholders to define success and develop measurement frameworks.
• Dive deep into complex business problems and provide insights on merchandising performance through hypothesis testing.
• Deliver a suite of analytical products including analyses, dashboards, insights, and recommendations.
• Present results to stakeholders up to the executive level and guide them to make the best use of analytics in their domain.
• Own the definition and implementation of new metrics.
• Find opportunities to use data to develop new strategies and improve overall performance.
• Deliver high-quality solutions and recommendations to a variety of problems both independently and through collaboration with team members and business partners.
• Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise.
• Reconcile divergent demands from multiple stakeholders in a fast-paced work environment.
• Mentor more junior team members on analytics, storytelling, and communication best practices.
• Influence and support the Center of Excellence standards and best practices of analytics.
• Use advanced analytical and statistical practices to create thorough and actionable insights.

Requirements

• Bachelor's Degree in a quantitative field (or equivalent experience).
• 5+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations.
• 3+ years of experience extracting and manipulating large data sets from various relational databases using SQL (BigQuery preferred).
• Strong problem-solving skills; ability to complete ambiguous projects independently, plan task priorities, find necessary resources, and make smart trade-off decisions.
• Strong coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data.
• Experience with statistical and machine learning algorithms (e.g., regression, classification, and/or clustering).
• Proficiency with graphics/visualization software (e.g., Shiny, ggplot, matplotlib, Tableau).
• Ability to be flexible and work in a fast-paced and dynamic organization.
• Clear and effective written and verbal communication and strong interpersonal skills.
• Working knowledge of the business and ability to partner with operational leadership to help customers across Nordstrom Stores, Nordstrom.com, Rack Stores, and NordstromRack.com.

Pay

$102,500.00 - $170,500.00 Annual

Benefits

• Medical, vision, and dental insurance.
• Retirement and paid time away.
• Life insurance and disability.
• Merchandise discount and Employee Assistance Program (EAP) resources.
• Eligibility for performance-based incentives/bonuses.
• 401k, PTO accruals, and holidays (eligibility requirements may apply based on location, job level, classification, and length of employment).