Senior Data Scientist, Measurement & Analytics

Company Description

Saatchi & Saatchi is an advertising agency with the belief that creativity, data, media and technology should all work together, and we use that to influence human behavior and drive success for clients. S&S is one of the world's largest agency networks with 114 offices and more than 6000 employees globally. Here in our Toronto office we work with some of the countries most valued brands including Toyota, Lexus, Quesada and Mondelez just to name a few. We’re an award winning agency in both creativity and effectiveness, so it’s really important for us here to convert that innovation and the great ideas into real tangible business results for the organization.

Overview

About the Role
We are seeking a Senior Data Scientist, Measurement & Analytics to lead the development of advanced measurement frameworks, reporting solutions, data infrastructure, and analytical models that support marketing and business decision-making. This role combines data science, analytics engineering, digital measurement, cloud data architecture, and stakeholder consulting to deliver scalable analytics solutions across web, media, and customer experience initiatives. The successful candidate will transform complex datasets into actionable insights, build reporting automation, develop statistical models, and help drive measurement excellence across the organization.

Key Responsibilities

• Measurement Strategy & Analytics Leadership
  Lead the development and evolution of digital measurement frameworks and KPI strategies.


• Establish measurement methodologies that support business objectives and performance tracking.


• Translate business questions into analytical approaches and actionable recommendations.


• Serve as a subject matter expert on digital measurement, attribution, and customer behavior analytics.


• Data Science & Advanced Analytics
  Develop and maintain regression models, forecasting models, attribution methodologies, and marketing performance analyses.


• Conduct exploratory analyses to identify key business drivers, trends, and optimization opportunities.


• Design measurement approaches for testing and experimentation initiatives.


• Apply advanced analytical techniques to solve complex business problems and support strategic decision-making.


• Analytics Engineering & Data Infrastructure
  Design, build, and maintain scalable analytics and reporting solutions.


• Develop automated data pipelines that integrate web, media, and business data sources.


• Build data transformation, validation, and quality assurance processes.


• Support the modernization and automation of analytics infrastructure and reporting workflows.


• Dashboarding & Reporting
  Lead the design and development of executive dashboards and reporting solutions.


• Create automated scorecards and performance reporting frameworks.


• Develop scalable data models that reduce manual reporting effort and improve consistency.


• Partner with stakeholders to deliver meaningful and actionable reporting experiences.


• Digital Analytics & Measurement Implementation
  Own measurement architecture and tracking strategy across digital properties.


• Lead implementation, validation, and troubleshooting of analytics and advertising technologies.


• Ensure data collection integrity, measurement accuracy, and reporting quality.


• Partner with internal and external teams to support analytics requirements for new initiatives and platform enhancements.


• Stakeholder & Client Leadership
  Act as a trusted advisor on analytics, reporting, and measurement strategy.


• Present analytical findings and recommendations to senior stakeholders.


• Collaborate with media, search, web, and technology teams to deliver integrated analytics solutions.


• Manage multiple high-priority projects while maintaining quality and delivery standards.

Qualifications

Technical Requirements

• Advanced Expertise Required


• Google Analytics 4 (GA4)


• Google Tag Manager (GTM)


• SQL


• Python


• BigQuery


• Power BI or equivalent business intelligence platforms


• Statistical analysis and modeling


• Regression analysis


• Forecasting and trend analysis


• Attribution methodologies


• Dashboard development and reporting automation


• Data visualization and storytelling


• Marketing and digital measurement frameworks


• Conversion tracking and analytics implementation

• Strong Working Knowledge


• Google Cloud Platform (GCP)


• API integrations


• Data pipeline development


• Cloud-based analytics architectures


• Marketing performance analysis


• Media measurement and attribution


• Experimentation and testing methodologies


• Data governance and quality assurance

Skills & Competencies

Technical Skills

• Advanced analytical and quantitative problem-solving capabilities.


• Strong data engineering and data transformation expertise.


• Ability to work with large-scale structured and unstructured datasets.


• Expertise in reporting automation and analytics solution development.


• Strong data visualization and storytelling skills.

Business & Leadership Skills

• Excellent communication and presentation skills.


• Ability to translate complex technical concepts into business recommendations.


• Strong stakeholder management and consulting capabilities.


• Ability to manage multiple concurrent priorities in a fast-paced environment.


• Strong attention to detail and commitment to data quality.

Personal Attributes

• Self-starter with strong ownership and accountability.


• Strategic thinker who connects analytics to business outcomes.


• Collaborative team player who works effectively across technical and non-technical teams.


• Continuous learner who stays current on analytics, measurement, and technology trends

Additional Information

Salary
Transparency matters to us. The salary for this position is $CAD 80,000 - 100,000 per year. Actual compensation within this range will be based on a variety of factors, including relevant experience, knowledge, skills, and applicable certifications. This range reflects what we reasonably expect to offer based on current market data.

AI Use
We use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but never replace human decision-making. We believe in a human-first approach, where your experience and potential are recognized by people.

Saatchi is an equal opportunity employer and we welcome and encourage applications from all interested parties. Accommodations are available, upon request, for all stages of the interview and employment process for those with a disability or medical need during any stage of the recruitment process. We thank all candidates for their interest in Publicis Media, however, only those candidates selected for an interview will be contacted.

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