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Manager, Marketing Channel Analytics
NordstromMarketing analytics manager optimizing Nordstrom’s fashion retail investments through marketing mix modeling. Leading analysts and translating statistical insights into enterprise budget decisions.
Posted 8/17/2026full-timeSeattle • Washington • 🇺🇸 United StatesMid-LevelSenior💰 $166,000 - $258,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Marketing Analytics, including Marketing Mix Modeling, advanced statistical techniques, and data-driven decision-making. Proven ability to lead teams, communicate insights effectively, and optimize marketing investments for business impact.
Highest-signal resume keywords
Marketing Mix ModelingSQL ProgrammingData Visualization (Tableau, Looker)Statistical TechniquesLeadership and Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceAnalyticsStatistical Programming (R, Python)Data CleansingAttribution ModelingIncrementality TestingScenario AnalysisSensitivity AnalysisBigQueryAmazon Redshift
Soft Skills
Clear CommunicationStorytellingProject ManagementTeam LeadershipStakeholder Collaboration
Tools & Technologies
TableauLookerOracleTeradata
Industry Keywords
RetailE-commerceOmnichannel Business ModelsMarketing MeasurementData Analysis
Tech Stack
Tools & technologiesAmazon RedshiftBigQueryOraclePythonSQLTableau
About the role
Key responsibilities & impact- Lead a team of up to four analysts and data scientists within the Nordstrom Marketing Analytics team
- Support foundational marketing measurement tools, frameworks, models, and attribution
- Own Nordstrom’s Marketing Mix Modeling, including model refits and validations
- Incorporate incrementality tests, geo-experiments, and attribution data to improve model performance
- Diagnose and resolve adstock decay, multicollinearity, and channel saturation challenges
- Optimize marketing investment toward ROAS, LTV:CAC, and customer targets
- Communicate analytical insights through clear storytelling to audiences with varied technical expertise
- Manage projects across competing priorities and maximize business impact
- Partner with stakeholders to define success and develop measurement frameworks
- Conduct scenario and sensitivity analyses to stress-test marketing plans and recommend budget optimization
- Present results to stakeholders and guide effective use of insights
- Compile, cleanse, and analyze data to drive actionable business outcomes
- Apply advanced analytical and statistical practices to create actionable insights
- Deliver solutions and recommendations independently and collaboratively with team members and business partners
- Set organizational vision and support strategies while building strong, effective, self-directed teams
Requirements
What you’ll need- Bachelor’s degree in mathematics, statistics, computer science, economics, operations research, or a quantitative field, or equivalent experience
- 4+ years of hands-on professional experience in Data Science and Analytics, focused on Marketing and Media Channel Analytics
- 3–5 years of strong coding skills in at least one statistical or programming language, such as SQL, R, or Python
- 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 application
- Proficiency in statistical techniques and selecting their appropriate application
- Proficiency extracting large datasets from relational databases using SQL
- BigQuery, Amazon Redshift, Oracle, or Teradata preferred
- Prior experience supporting teams of data analysts and/or data scientists
- Background in retail, e-commerce, or omnichannel business models
- Proven leadership and management skills
- Ability to compile, cleanse, and analyze data
- Ability to communicate insights clearly to audiences with mixed technical expertise
Benefits
Comp & perks- Medical/Vision, Dental, Retirement and Paid Time Away
- Life Insurance and Disability
- Merchandise Discount and EAP Resources
- Performance-based incentives/bonuses may be available
- 401k
- PTO accruals
- Holidays
- Benefits supporting employees and their families
- Accommodation assistance for applicants with disabilities