The role involves analyzing marketing data to develop insights, build predictive models, and optimize marketing strategies using advanced analytics and AI techniques, supporting business growth and decision-making.
Key Responsibilities
Conduct detailed data analysis to inform marketing strategy and optimize targeting and channel mix
Design and evaluate marketing experiments to measure impact and support budget decisions
Support development and refinement of marketing attribution models and measurement frameworks
Collaborate with cross-functional teams to leverage AI and advanced analytics for marketing insights and automation
Build and develop predictive models and AI-driven scripts to enhance account identification and enrichment
Requirements
Bachelor's degree or higher in Statistics, Computer Science, Math, Machine Learning, Economics or other related quantitative fields.
At least 5 years of relevant data science or advanced analytics work experience.
At least 5 years of experience building advanced analytical models analysis to inform strategy.
Advanced knowledge of marketing measurement attribution, marketing mix modeling, lift studies, and direct experience working in marketing and doing detailed analysis supporting marketing strategy.
Experience conducting and designing large scale experimentation processes from end-to-end, executing on incremental studies, and translating results into actionable business decisions.
Expertise in Tableau and/or similar platforms.
Hands-on coding experience with Python, R, and SQL.
Interest in applying emerging AI and machine learning techniques to enhance marketing analytics, automation, and decision-making.
Strong problem-solving, stakeholder management, critical thinking, and communication abilities.
Ability to manage multiple projects simultaneously in a fast-paced business environment.
Experience working with cutting edge LLM tools, web scraping, third-party data providers, or AI-driven automation (preferred).
Experience analyzing B2B marketing strategies, channels, and lifecycle to identify areas of opportunity and optimization (preferred).
Familiarity with web analytics, tracking platforms, CRM tools, and cloud-based data pipelines (preferred).
Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies (preferred).
Benefits & Perks
Annual Base Salary 138,975 - 179,850 CAD
Eligible for initial RSU grant with no vesting cliff and ongoing refresh opportunities tied to performance
Performance-based bonus variable pay
Equity for eligible roles
Flexible, employee-led remote work model
Professional development stipend
Comprehensive health plans
Parental leave plans
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