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.