Manager, Marketing Analytics (Hybrid - Seattle)

Manager, Marketing and Customer Lifecycle Analytics  

Nordstrom is reinventing the retail industry through the power of data and artificial intelligence. The vision for Data Science & Analytics at Nordstrom is to be the best data-driven fashion retailer in the world, and we win by rigorous and thoughtful application data science to solve strategic business challenges. Nordstrom’s centralized Customer Analytics team focuses on supporting executive management with robust decision support data science. We build data science products and provide analytics consulting in support of strategic business decisions, including customer segmentation, marketing, company strategy, and digital experience. We work as the quantitative right-hand for the executive team with a passion for supporting data-driven decision making, a devotion to advanced techniques, along with a creative team spirit! 

We are looking for a Manager of Analytics to support the Customer Lifecycle strategy. The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools, with a particular focus on optimizing our lifecycle marketing strategies. The role has an opportunity to tackle challenges from ideation to insights delivery, with visibility across the leadership organization. This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data and communicate those insights in a way that builds confidence and enables decisions that drive business value.  

Essential Functions and Work Duties 

• Lead a team of up to four analysts and data scientists within the Nordstrom Marketing Analytics team partnering with Lifecycle Marketing to ideate, define, test, and scale initiatives focused on growing active customers.  

• Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise. 

• Support various insights, testing, reporting, and optimization across the customer lifecycle (acquisition, activation, retention, and reactivation). 

• Manage and balance projects across competing priorities to focus on the most impactful work to maximize the value of your work to the business. 

• Partner with key stakeholders to define success and develop measurement frameworks. 

• Contribute & implement experimental design & test/learn frameworks across audiences, leveraging a full suite of marketing channels (email, direct mail, social media, TV, etc.). 

• Present the results to the stakeholders and guide them to make the best use of the insights for their purposes and use-cases. 

• Compile, cleanse, & analyze data to drive actionable outcomes in support of business objectives. 

• Use advanced analytical and statistical practices to create thorough and actionable insights. 

• Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners to drive outcomes. 

• Intellectually curious and a ‘do not stop until you solve the problem’ attitude. 

• Proven leadership and management skills with demonstrated skills in setting organizational vision and supporting strategies, building strong, effective, and self-directed teams. 

Minimum qualifications include… 

• 5+ years hands-on professional experience in Data Science and Analytics, with a focus on Marketing & Customer analytics roles.  

• 3-5 years of strong coding skills in at least one statistical or programming language (e.g. R, Python) to import, process, summarize, and analyze data. 

• Experience with utilizing data visualization tools to tell compelling data stories (e.g. PowerBI, Tableau, Looker) 

• Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience). 

• A solid grasp of the scientific method and its application to Data Science. 

• Fluency with descriptive and inferential statistical techniques, including experimental design (DOE) concepts and their application. 

• Proficiency with statistical techniques and when best to apply given current situation. 

• Proficient in extracting large data sets from various relational databases using SQL (Big Query, Amazon Redshift, Oracle, Teradata preferred). 

• Prior experience supporting teams of data analysts and/or data scientists.  

Our ideal candidate has… 

• Strong critical thinking and storytelling skills. 

• 5-8 years of experience analyzing complex data, drawing conclusions, and making recommendations. 

• 5+ years of experience developing and deploying production-level SQL queries. 

• 5+ years of experience with advanced BI visualization (Tableau or Looker preferred). 

• Professional experience using R or Python in analytics capacity. 

• Ability to think strategically, seek to expand understanding of business domain, processes, data sources, and relevant key metrics. 

• Direct experience working with marketing channel optimization, customer lifecycle marketing, or customer loyalty programs is strongly preferred! 

• Experience working with Customer Data Platforms (Treasure Data, Blueshift, Adobe Experience Platform) 

• MS or PhD in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience). 

• Passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and statistical testing. 

• Experience working in a highly collaborative environment (e.g. code sharing, using revision control, contributing to team discussions/workshops, and document sharing). 

• Familiarity with digital tactics, targeting and customer segmentation, lifetime value forecasting, and incremental response modeling.