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 transparent 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.

📌 Senior Marketing Analytics Data Scientist (Winnipeg)
🏢 ShyftLabs
📍 Winnipeg