Advanced analytics and statistical modeling define this Senior Data Analyst role at ShyftLabs, supporting Retail Media Network initiatives in Toronto. Use SQL, Python, and business intelligence tools to evaluate advertising performance.

As a Senior Data Analyst, Advanced Analytics & Data Science, you will support an enterprise client through client-facing analytical work. Apply exploratory analysis, hypothesis testing, predictive modeling, and campaign measurement techniques. Translate complex findings into recommendations for technical and non-technical stakeholders.

Key Responsibilities:
Analyze RMN campaigns, attribution, ROAS, and incrementality
Develop predictive models, forecasts, segments, and machine learning solutions
Build dashboards and reporting solutions using Tableau or Looker




Extract and validate large datasets with SQL, BigQuery, and Python
Present actionable insights to client stakeholders and technical teams

Requirements:
Four to seven years in analytics, business intelligence, or data science
Solid SQL and Google BigQuery proficiency
Hands-on Python experience with analytical libraries
Experience with statistical analysis, forecasting, regression, and segmentation
Solid dashboard development experience using Tableau or Looker

Apply advanced analytics, campaign measurement, and data science expertise as ShyftLabs supports Retail Media Network decisions.
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📌 Senior Retail Media Data Analyst Toronto
🏢 ShyftLabs
📍 Toronto