Hybrid Role, 40 hours per week in EST. Toronto area preferred.

We are seeking a highly analytical and strategic AI Productivity Analyst to help measure, evaluate, and optimize the impact of AI-powered tools and productivity initiatives across the organization. As we continue to expand the adoption of AI-native and AI-augmented solutions, this role will play a critical part in defining success metrics, uncovering actionable insights, and guiding data-driven investment decisions.

The ideal candidate combines deep expertise in data analytics, business intelligence, and statistical modeling with hands-on experience leveraging modern AI tools such as Claude, Cursor, and other AI-assisted technologies. You will work closely with Product, Engineering, Strategy, and Finance leaders to evaluate AI adoption, measure business outcomes, and influence the future direction of AI-enabled initiatives..

Requirements: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or another quantitative discipline. 8+ years of experience in Data Analytics, Business Intelligence, Data Science, or a related analytical field within technology, SaaS, or platform-based organizations. Experience using AI-powered tools (e.g., Claude, Cursor, GitHub Copilot, or similar) to enhance productivity, automate workflows, and accelerate analytical work. Strong expertise in SQL and proficiency in Python and/or R for advanced analytics, modeling, and data manipulation. Hands-on experience with modern data platforms and ELT technologies such as Snowflake, dbt, Airflow, or equivalent solutions. Experience designing scalable analytics data models and supporting self-service reporting environments. Advanced experience with BI and data visualization tools such as Power BI, Looker, Tableau, or similar platforms. Strong understanding of statistical analysis, experimentation, forecasting, and predictive modeling techniques. Exceptional problem-solving skills with the ability to independently analyze complex datasets and generate actionable insights. Excellent communication and stakeholder management skills, with the ability to present findings effectively to technical and executive audiences.

Responsibilities: Partner with Product Managers, Engineering Leaders, Strategy, and Finance teams to define business questions, success metrics, and analytical frameworks for AI-driven initiatives. Analyze large, complex datasets to identify trends, adoption patterns, productivity gains, and opportunities for optimization. Develop and monitor KPIs that measure the effectiveness of AI tooling, platform initiatives, and operational performance. Evaluate how internal teams and customers interact with AI-enabled capabilities, identifying friction points and areas for improvement. Design and maintain scalable analytics data models, governed datasets, and semantic layers that support trusted business reporting and decision-making. Build compelling dashboards, reports, and visualizations using tools such as Looker, Power BI, or similar platforms. Apply statistical analysis, experimentation methodologies, forecasting techniques, and predictive modeling to assess initiative impact and support strategic prioritization. Ensure data integrity, quality, and consistency through robust data governance and validation practices. Translate complex analytical findings into clear, actionable recommendations for both technical and non-technical stakeholders. Support executive and leadership teams with data-driven insights that influence product strategy, operational decisions, and future AI investments.

Preferred Qualifications: Previous experience working within a SaaS, platform engineering, or cloud technology environment. Familiarity with AI adoption measurement, productivity analytics, and technology investment analysis. Experience working with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of products and the platform ecosystem is a plus. Master's degree in Data Science, Statistics, Mathematics, Analytics, or a related quantitative field

Our Fortune Technology client is ranked as one of the best companies to work with, in the world. As a global leader in 3D design, engineering, and entertainment software, they foster a progressive culture, creativity, and a flexible work environment using cutting-edge technologies.