Data Analyst, Omnichannel Engagement; Hybrid,Seattle

Position: Data Analyst, Omnichannel Engagement (Hybrid,Seattle)
The Customer Insights & Analytics team strives to make Nordstrom the best data-driven fashion retailer among competitors, who wins by rigorous and thoughtful application of data science to unlock value for the enterprise. We focus on three business outcomes: more customers who are happier and more engaged. This role primarily focuses on happier and more engaged customers. The Data Analyst role on the Omnichannel Engagement Analytics team is responsible for collecting, analyzing, and presenting data to improve decision-making around customer experience projects.

They will be the intersection of quantitative customer engagement data and qualitative behavioral data.  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.  1+ years of corporate data analysis experience in customer or digital analytics1+ years of experience with SQL required.

Experience working with No

SQL data environments and tools such as Hadoop, Spark, Dynamo

DB is a plus. 1+ years of experience with scripting (R or Python) and ML frameworks and libraries (e.g., caret, spark, scikit-learn, pandas, numpy, tensor flow, pytorch, keras, theano, seaborn, matplotlib, etc.) is preferred1+ years of experience with direct use of graphics/visualization software (e.g. Tableau, Looker) Good verbal and written communication skills, ability to convey results to non-technical stakeholders

Experience with AWS, GCP is a plus

Experience with A/B Test or trainings on digital testing is a plus

Experience with API integrations (endpoints, requests, extraction) a plus
#J-18808-Ljbffr