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Manager, Omnichannel Analytics

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full-time

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Origin:  • 🇺🇸 United States • Illinois

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Salary

💰 $150,000 - $175,000 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonScikit-LearnSQLTableauTensorflow

About the role

  • Design, implement, and validate predictive models to assess marketing program effectiveness
  • Build machine learning models (classification and regression) for customer segmentation and targeting
  • Analyze large datasets to identify trends, patterns, and insights informing marketing strategy
  • Develop and deploy ML algorithms to optimize marketing efforts and customer targeting
  • Implement reporting and visualization tools to communicate findings to senior leadership and stakeholders
  • Collaborate closely with marketing, analytics, IT, and agency partners to ensure data integrity and alignment with business objectives
  • Stay up-to-date with AI and machine learning trends and promote innovation
  • Provide technical expertise across the team and supervise vendor resources on day-to-day tasks
  • Ensure thorough documentation of methodologies, processes, and model performance for reproducibility and knowledge sharing

Requirements

  • Accredited Bachelor’s degree required
  • 5+ years of experience in data science, statistics, analytics, or related field with a focus on marketing analytics
  • Proven experience leading analytic projects and hands‑on development of predictive models and machine learning algorithms
  • Experience with Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA)
  • Experience with customer segmentation and lead scoring
  • Experience in vendor management and overseeing data collection processes
  • Proficiency in Python, R, or SQL
  • Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn)
  • Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software
  • Strong analytical and problem-solving skills
  • Excellent verbal and written communication skills
  • Demonstrated ability to lead and motivate teams, manage projects, and drive strategic initiatives
  • Ability to work collaboratively in a fast-paced, dynamic environment
  • Willingness/ability to travel up to 25% domestically; international travel may be required