Data Analyst 3 – Insights Delivery

About Nordstrom

Nordstrom is reinventing the retail industry through the power of data and artificial intelligence. The vision for Insights Delivery at Nordstrom is to be the best data-driven fashion retailer in the world, and we win by being relevant to the customer through an application of insight and prediction to outcomes.

Job Summary

The Data Analyst 3 role on the Insights Delivery – Digital team is responsible for collecting, analyzing and presenting data to improve decision making around the customer digital experience. This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data.

Key Responsibilities

• Partner with key stakeholders to define success and develop measurement frameworks.
• Dive deep into complex business problems and provide insights on business vertical performance through hypothesis testing.
• Responsible for delivering a suite of analytical products including analyses, dashboards, insights, and recommendations.
• Present the results to the stakeholders up to 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 to drive outcomes.
• 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.
• Use advanced analytical and statistical practices to create thorough and actionable insights.
• Collect data to analyze, execute and measure the customer analysis, marketing campaigns, merchandise and digital experience analysis.
• Actively collaborate to apply learning to other channels/campaigns/products/business units.

Requirements

You own this if you have a passion for data and a desire to make a difference in this vibrant intersection of fashion, data, and technology.