Measurement Science Manager

Accountabilities

Advertising Measurement and Experimentation: Design, develop, and deliver rigorous measurement studies, including A/B testing, holdout experiments, and incrementality analyses, to demonstrate the actual impact of advertising investments.
Statistical Analysis: Transform large-scale, multi-retailer, first-party datasets into reliable statistical insights, using advanced analytical techniques to distinguish causal advertising effects from simple correlations.
Client Measurement Strategy: Partner directly with advertisers and agencies to understand their business objectives, identify measurement challenges, and develop customized, defensible approaches to evaluating campaign effectiveness.
Strategic Recommendations: Translate complex analytical findings into clear, actionable recommendations that help advertisers optimize campaigns, allocate budgets, and improve marketing performance.
Client Relationship Development: Build trusted relationships with leading consumer packaged goods (CPG) brands and agencies by presenting measurement findings, explaining methodologies, and providing expert guidance on advertising effectiveness.
Data Visualization and Storytelling: Develop compelling presentations, dashboards, and visualizations using tools such as Tableau, Mode, and Excel to communicate insights effectively to technical and non-technical stakeholders.
Analytical Tools and Automation: Build and improve reusable analytical solutions, custom code, self-service tools, dashboards, and measurement metrics that strengthen the team's capabilities and streamline future projects.
Cross-Functional Collaboration: Work closely with sales, marketing, analytics, and other internal teams to improve client advisory strategies and ensure measurement insights influence commercial decisions.
Business Growth Opportunities: Identify opportunities to expand client relationships, support additional measurement initiatives, and contribute to revenue growth through data-driven recommendations.
Operational Improvement: Identify gaps in existing measurement processes and develop scalable solutions that improve analytical efficiency, consistency, and the overall quality of client deliverables.
Requirements
Bachelor's degree in a quantitative discipline, such as Engineering, Mathematics, Statistics, Finance, Economics, or Business.
At least 4 years of professional experience in data analytics, measurement science, or consulting, with demonstrated expertise in statistical analysis.
At least 2 years of relevant experience in advertising effectiveness, media or marketing measurement, and experimentation.
Strong knowledge of experimental design and measurement methodologies, including A/B testing, holdout designs, and incrementality measurement.
Proven ability to conduct statistical analyses and develop reliable measurement frameworks to evaluate advertising performance.
Advanced SQL skills and proficiency in Python or R, with experience developing, implementing, and validating customized analytical solutions.
Strong data visualization and storytelling capabilities, with practical experience using tools such as Tableau, Mode, and Excel.
Experience developing dashboards and self-service analytical tools that enable stakeholders to access and interpret data independently.
Demonstrated ability to translate complex analytical findings into strategic business recommendations that influence decisions and deliver measurable outcomes.
Excellent communication and presentation skills, with the ability to explain technical methodologies and statistical findings to clients, marketing teams, and senior stakeholders.
Strong organizational and project management abilities, with the capacity to manage multiple initiatives independently and deliver high-quality results.
A curious, proactive, and analytical mindset, combined with strong active listening skills, creativity, and the ability to navigate ambiguous business challenges.
Additional qualifications that would be an advantage:
At least 2 years of experience conducting and presenting advertising lift measurement studies directly to clients.
Previous experience providing analytical or quantitative guidance to sales teams and supporting commercial decision-making.
Basic understanding of advertising auction mechanisms, targeting algorithms, and attribution models.
Familiarity with AI-powered tools and their practical application in everyday workflows, including document refinement, coding, and process automation.
Benefits
Competitive Salary: Annual base salary ranging from CA$118,000 to CA$124,500 for candidates based in Canada, depending on permanent work location, professional experience, and relevant skills.
Equity Participation: Eligibility for an initial equity grant upon joining, with additional annual equity refresh grants.
Remote Work: Fully remote working arrangement for candidates residing in Ontario, Alberta, British Columbia, or Nova Scotia.
Flexible Working Environment: A Flex First approach that allows employees to choose where they work best, whether from home, an office, or another suitable location.
Work-Life Balance: Flexibility and autonomy to organize your working arrangements while maintaining strong collaboration and team connections.
Professional Growth: Opportunities to develop expertise in advertising measurement, experimentation science, statistical analytics, and data-driven marketing strategy.
Meaningful Impact: The opportunity to influence advertising investment decisions for leading consumer brands through advanced measurement methodologies and actionable insights.
Collaborative Culture: An inclusive working environment that values diverse perspectives, innovation, teamwork, and continuous learning.
Career Development: The opportunity to contribute to evolving measurement capabilities and develop professionally within a growing data-driven organization.