Manager Customer Lifecycle Analytics (Hybrid - Seattle)

$105,000 - $199,000/Yr

Nordstrom - Seattle, WA

Full-time - Mid Level

Seattle, WA

Clothing, Clothing Accessories, Shoe, and Jewelry Retailers

About the position

The Manager of Customer Lifecycle Analytics at Nordstrom will lead a team focused on leveraging data science to optimize lifecycle marketing strategies. This role involves collaborating with various stakeholders to drive insights and support strategic business decisions, enhancing customer engagement and retention through data-driven initiatives.

Responsibilities

• Lead a team of up to four analysts and data scientists within the Nordstrom Marketing Analytics team.
• Partner with Lifecycle Marketing to ideate, define, test, and scale initiatives focused on growing active customers.
• Bring data to life through storytelling for audiences with mixed levels of technical expertise.
• Support insights, testing, reporting, and optimization across the customer lifecycle.
• Manage and balance projects across competing priorities to maximize business value.
• Define success metrics and develop measurement frameworks with key stakeholders.
• Contribute to and implement experimental design and test/learn frameworks across various marketing channels.
• Present results to stakeholders and guide them in utilizing insights effectively.
• Compile, cleanse, and analyze data to drive actionable outcomes.
• Use advanced analytical and statistical practices to create thorough insights.

Requirements

• 5+ years of hands-on professional experience in Data Science and Analytics, focusing on Marketing & Customer analytics roles.
• 3-5 years of strong coding skills in at least one statistical or programming language (e.g., R, Python).
• Experience with data visualization tools (e.g., PowerBI, Tableau, Looker).
• Bachelor's degree in mathematics, statistics, computer science, economics, operations research, or a quantitative field.
• Fluency with descriptive and inferential statistical techniques, including experimental design concepts.
• Proficient in extracting large data sets using SQL (Big Query, Amazon Redshift, Oracle, Teradata preferred).
• Prior experience supporting teams of data analysts and/or data scientists.

Nice-to-haves

• 5-8 years of experience analyzing complex data 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 an analytics capacity.
• Direct experience with marketing channel optimization, customer lifecycle marketing, or customer loyalty programs.
• Experience with Customer Data Platforms (Treasure Data, Blueshift, Adobe Experience Platform).
• MS or PhD in a quantitative field.

Benefits

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources
• 401k
• PTO accruals
• Holidays