AI Productivity Analyst, Data Analytics

AI Productivity Analyst, Data Analytics Location: Ontario (Toronto preferred) Contract: 6 months Pay Rates: • T4: $57.71 (T4 only) What You'll Do • Partner with Product Managers, Engineering leaders, and cross-functional teams to define business questions, KPIs, and analytical frameworks for AI and productivity initiatives. • Analyze large, complex datasets to understand AI adoption, user behavior, workflow efficiency, and business outcomes. • Identify trends, opportunities, and friction points that influence how teams and customers interact with AI-enabled capabilities. • Develop dashboards and visualizations using tools such as Power BI, Looker, or similar BI platforms to communicate insights effectively. • Apply statistical analysis, forecasting, experimentation, and predictive modeling techniques to evaluate initiative performance and guide investment decisions. • Build trusted datasets, semantic layers, and scalable analytics models that enable self-service reporting and informed decision-making. • Ensure data quality and integrity by implementing best practices in data collection, transformation, and governance. • Translate technical findings into clear, actionable recommendations for both technical and non-technical stakeholders. What You'll Bring • 8+ years of experience in Data Analytics, Business Intelligence, or related analytical roles, ideally within a technology or SaaS environment. • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or another quantitative discipline. • Hands-on experience using AI tools such as Claude Code, Cursor, or similar to enhance productivity, automate analysis, and prototype solutions. • Strong SQL skills and proficiency in Python or R for data analysis, statistical modeling, and automation. • Experience working with modern data stacks and ELT technologies such as Snowflake, dbt, Airflow, or similar platforms. • Proven experience designing scalable analytics data models and governed datasets that support enterprise reporting and decision-making. • Expertise with visualization tools such as Looker, Power BI, or equivalent BI platforms. • Familiarity with cloud platforms such as AWS or Azure. • Strong analytical thinking, problem-solving abilities, and the ability to independently drive insights from ambiguous or complex datasets. • Excellent communication skills with the ability to influence stakeholders across technical and business teams. Nice to Have • Experience working within SaaS companies or Platform Engineering organizations. • Familiarity with Autodesk products and the industries they serve. • Master's degree in a quantitative discipline.

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