Data Analyst 2 - Clienteling - HYBRID

As an integral part of our Selling and Styling team, the data analyst 2 is responsible for collecting, analyzing and presenting data to improve decision making around customer experience outreach & Clienteling for Nordstrom Stores. This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data. They should be able to communicate those insights in a way that builds confidence and enables decisions that drive business value. 

KEY RESPONSIBILITIES: 

• Enable outreach via CRC or Seller by operationalizing lists with pertinent data, ensuring accuracy and compliance with marketability 

• Analyze data and provide results monthly for Nordstrom stores on outreach outcomes 

• Recommend methods of measurement and accuracy in data by being the subject matter expert of CDP for the business team 

• Partner with stakeholders to plan and execute CRC outreach guidance throughout the year to support scaled events, store events, and The Nordy Club 

CORE COMPETENCIES: 

• Customer Focus: Builds strong customer relationships and delivers customer-centric solutions. 

• Drives Results: Persists in accomplishing objectives, even under tough circumstances. Has a track record of successfully achieving priorities. 

• Builds Trust: Gains the confidence and trust of others through honesty, integrity and authenticity. 

• Self-Development: Actively seeks new ways to grow and be challenged using both formal and informal development channels. 

FUNCTIONAL COMPETENCIES: 

• Partner with key stakeholders on data analysis problems  

• Partner with key stakeholders to develop, design, and evolve customer data for store outreach and reporting 

• Mine complex digital behavioral data and transform it into actionable information 

• Apply common statistical methods, data modeling, and predictive analysis to answer strategic questions for the online business 

• Use advanced data visualization techniques to communicate solutions to business stakeholders 

• Provide exceptional customer service through professionalism, ownership and initiative 

• Demonstrate productivity through the efficient use of time and a commitment to strong results 

QUALIFICATIONS: 

• Quantitative degree (preferably a Master's degree) in mathematics, statistics, computer science, engineering, or similar quantitative analytics discipline 

• 1+ year of corporate data analysis experience in online analytics (online retail a plus) 

• 1+ year of corporate experience writing SQL queries from scratch 

• 1+ year of professional experience using R or Python in an analytics capacity 

• Working understanding of statistics 

• Good verbal and written communication skills, ability to convey results to non-experts