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 Strong SQL and Google BigQuery proficiency Hands-on Python experience with analytical libraries Experience with statistical analysis, forecasting, regression, and segmentation Strong 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 in Toronto employer: ShyftLabs
ShyftLabs is an exceptional employer that fosters a collaborative and innovative work culture, allowing Senior ML-Ops Engineers to thrive in a fully remote environment across Canada. With a strong emphasis on employee growth, ShyftLabs offers opportunities to engage with high-profile enterprise clients while developing cutting-edge Machine Learning infrastructure. The company values work-life balance and provides hybrid options in Toronto, making it an attractive place for professionals seeking meaningful and rewarding careers.
