Marketing measurement and predictive modeling anchor this Senior Data Analyst opportunity with ShyftLabs, working in a hybrid Toronto setting.
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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 explicit recommendations
Requirements
Four to seven years of professional 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.