Role: Senior Analyst - Advanced Marketing Analytics (MMM Focus)

Location Options: Toronto, Montreal, or Vancouver

Compensation: $90K-$105K + Comprehensive Benefits

Our hiring partner, a globally recognized consultancy specializing in marketing performance optimization, is looking to appoint a seasoned analytics professional to lead the development of complex measurement models that enhance client outcomes across multiple promotional platforms.

In this position, you'll be a key contributor to analytical initiatives, working alongside cross-functional teams to design data-led models that guide critical business decisions. Your expertise in quantitative modelling will be essential for evaluating campaign effectiveness across channels like broadcast, digital, and out-of-home.

This is a unique opportunity to engage with prominent clients, apply advanced statistical techniques, and shape the evolving landscape of data-driven marketing.

Main Areas of Focus:

• Develop and refine statistical models to assess campaign efficiency and return on investment across various advertising formats.
• Execute experiments and testing strategies (e.g., regional lift studies, A/B setups) to enhance attribution accuracy.
• Utilize and customize open-source tools (such as those from Google or Meta) for MMM analysis when appropriate.
• Construct and streamline data workflows and integration pipelines using tools like SQL, Python, dbt, or Airflow.
• Translate technical outputs into clear, actionable recommendations using dashboards, visuals, and briefings tailored to diverse audiences.

Preferred Background:

• At least five years of hands-on experience designing and implementing MMM solutions.
• Advanced capability in tools like Python, R, or SQL for analytical modeling and data automation.
• Solid grounding in statistical approaches like regression, Bayesian inference, time-series analysis, and causal measurement.
• Familiarity with public cloud infrastructure (e.g., AWS, GCP, Azure) for handling large data environments.
• Skilled in data visualization platforms (e.g., Tableau, Power BI, or relevant Python libraries).
• Understanding of the media landscape and how different platforms contribute to campaign success.
• Strong critical thinking and communication skills, with the ability to distill technical information into practical insights.
• Experience leading initiatives and managing timelines and expectations across stakeholders.

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