Marketing measurement and predictive modeling anchor this Senior Data Analyst opportunity with ShyftLabs, working in a hybrid Toronto setting. Apply Python, SQL, and statistical techniques to advertising questions.
This Senior Data Analyst, Advanced Analytics & Data Science, supports enterprise Retail Media Network initiatives through business-focused data science. Evaluate campaign effectiveness, build forecasts and segments, and develop scalable analytical solutions. Your recommendations will help stakeholders understand performance drivers and optimization opportunities.
Key Responsibilities:
- Conduct exploratory analysis, hypothesis testing, and statistical modeling
- Measure advertising effectiveness through attribution, ROAS, and incrementality
- Develop forecasting methodologies and predictive machine learning solutions
- Automate reports, workflows,
validation, and manual analytical processes
- Translate complex findings into presentations and clear recommendations
Requirements:
- Four to seven years of skilled quantitative analytics experience
- Proficiency in Python and libraries including Pandas or Scikit-learn
- Experience applying regression, forecasting, segmentation, and hypothesis testing
- Background in marketing, campaign, advertising, or performance analytics
- Ability to communicate recommendations in a client-facing environment
Bring marketing analytics, predictive modeling, and stakeholder communication skills to ShyftLabs advertising measurement initiatives.
📌 Senior Marketing Analytics Data Scientist (Toronto)
🏢 ShyftLabs
📍 Toronto
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