Responsibilities

• Lead a team of up to four analysts and data scientists within the Nordstrom Marketing Analytics team supporting foundational marketing measurement tools, frameworks, models, & attribution.
• Analytical owner of Nordstrom’s MMM including existing model refits, model validations, & incorporating incrementality tests, geo-experiments, and attribution data to enhance & improve model performance.
• Diagnose and resolve modeling challenges such as adstock decay, multicollinearity, and channel saturation curves
• Optimize marketing investment toward ROAS, LTV:CAC, & customer targets.
• Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise .
• 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.
• Conduct scenario and sensitivity analysis to stress-test marketing plans against varying economic conditions, resulting in budget optimization recommendations
• 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 .

Requirements

• Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
• 4 + years hands-on professional experience in Data Science and Analytics, with a focus on Marketing & Media Channel analytics roles.
• 3-5 years of strong coding skills in at least one statistical or programming language ( e.g. SQL, R, Python) to import, process, summarize, and analyze data, while drawing conclusions and making recommendations.
• 3 + years of experience with advanced BI visualization (Tableau or Looker preferred).
• 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.
• Background in retail, e-commerce, or omnichannel business models

Benefits

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources