Manager, Marketing Channel Analytics

Jobtailor; Seattle (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

Nordstrom is seeking a data-driven leader to guide a small team of analysts and data scientists within Marketing Analytics. You will own Marketing Mix Modeling, drive model improvements, and work with stakeholders to optimize marketing investments across channels.

You will apply advanced statistical techniques, conduct scenario analyses, and communicate insights to non-technical audiences. A strong background in retail analytics and leadership is essential.

Qualifications

• Bachelor’s degree in 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 (SQL, R, Python).
• 3+ years of experience with advanced BI visualization (Tableau or Looker preferred).
• Fluency with descriptive and inferential statistics and experimental design concepts.
• Experience extracting large datasets from relational databases using SQL.
• Background in retail, e‑commerce, or omnichannel business models.

Responsibilities

• Lead a team of analysts and data scientists to deliver marketing analytics solutions.
• Support marketing measurement tools, frameworks, models, and attribution across channels.
• Own Marketing Mix Modeling, including refits and validations.
• Incorporate incrementality tests, geo-experiments, and attribution data to improve model performance.
• Diagnose adstock decay, multicollinearity, and channel saturation issues.
• Optimize marketing investment toward ROAS and LTV:CAC targets.
• Communicate insights clearly to audiences with varied technical backgrounds.
• Manage projects across competing priorities to maximize business impact.
• Partner with stakeholders to define success and develop measurement frameworks.
• Conduct scenario and sensitivity analyses to stress-test marketing plans and budget.

Skills

Marketing Mix Modeling

SQL Programming

Data Visualization

Statistical Techniques

Leadership and Management

Communication and Storytelling

Education

Bachelor's degree in mathematics, statistics, econometrics, computer science, or quantitative field

Tools

SQL

R

Python

Tableau

Looker

BigQuery

Amazon Redshift

Teradata

Job description

• 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

• 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

Core Competencies

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 Modeling
• SQL Programming
• Data Visualization (Tableau, Looker)
• Statistical Techniques
• Leadership and Management

ATS Optimization Keywords

Hard Skills

• Data Science
• Analytics
• Statistical Programming (R, Python)
• Data Cleansing
• Attribution Modeling
• Incrementality Testing
• Scenario Analysis
• Sensitivity Analysis
• BigQuery
• Amazon Redshift

Soft Skills

• Clear Communication
• Storytelling
• Project Management
• Team Leadership
• Stakeholder Collaboration

Industry Keywords

• Retail
• E‑commerce
• Omnichannel Business Models
• Marketing Measurement
• Data Analysis

Tools & Technologies

• Tableau
• Looker
• Oracle
• Teradata