Manager, Marketing Channel Analytics (Hybrid, Seattle)

Job Description 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   Marketing Mix Modeling .   This role sits at the center of a modern measurement stack   supporting   Marketing Mix Modeling (MMM)   and macro-level regression/econometric   analysis ,   and   serves as the analytical backbone for marketing investment decisions across the enterprise .   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   marketing investment through a variety of   statistical   models . 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   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 .   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.   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…   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  Pay Range Details The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.  Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience. $166,000.00 - $258,000.00 Annual   We’ve got you covered… Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including: Medical/Vision, Dental, Retirement and Paid Time Away Life Insurance and Disability Merchandise Discount and EAP Resources This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf   A few more important points... The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job. For Los Angeles or San Francis