Senior AI Productivity Analyst, Data Analytics
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Posted on:
4 hours ago
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Job Summary
Job Title: Senior AI Productivity Analyst Data Analytics
Location: Toronto Ontario Canada - Hybrid
Job Type: T4 Contract
Experience: 8 Years
Pay Rate: CAD 60 to 70 per Hour
Experience: 8 Years
Pay Rate: CAD 60 to 70 per Hour
Role Summary:
We are hiring for a Senior AI Productivity Analyst Data Analytics role where the selected candidate will help measure and accelerate the impact of AI-powered tools across platform engineering and product this position you will work with cross-functional stakeholders to evaluate AI adoption uncover productivity insights and translate complex data into recommendations that influence product strategy operational efficiency and investment decisions.
Key Responsibilities:
- Partner with product managers engineering leaders and cross-functional teams to define business questions success metrics and analytical approaches for AI tooling and platform productivity initiatives.
- Analyze large and complex datasets to uncover actionable insights and communicate findings to both technical and non-technical stakeholders.
- Monitor key performance indicators and platform outcomes providing regular insights into performance trends risks and opportunities.
- Evaluate how internal teams and customers use AI-enabled capabilities identify friction points and recommend opportunities to improve product experiences and strategic investments.
- Build clear and impactful dashboards and visualizations using tools such as Power BI Looker or similar platforms.
- Apply statistical analysis experimentation forecasting and predictive modeling techniques to assess initiative impact and support data-driven prioritization.
- Ensure data quality consistency and integrity through best practices in data collection transformation and analysis.
- Identify and resolve data discrepancies while maintaining trusted datasets and reporting standards.
- Collaborate with product engineering strategy and finance stakeholders to align analytics initiatives with organizational goals.
- Support the development of scalable measurement frameworks that help teams understand and maximize the value of AI-native and AI-augmented capabilities.
Must-Have Skills:
- 8 years of experience in data analytics business intelligence or a related field preferably within a technology or SaaS environment.
- Bachelors degree in Data Science Statistics Mathematics Computer Science or another quantitative discipline.
- Experience using AI tools such as Claude Code Cursor or similar platforms to extend productivity and automate analytical workflows.
- Strong experience leveraging AI tools to accelerate data analysis and build lightweight systems or prototypes.
- Advanced SQL skills for querying transforming and analyzing large datasets.
- Proficiency in Python or R for data analysis statistical modeling and automation.
- Experience with data warehouse and ELT technologies including Airflow dbt and Snowflake.
- Strong understanding of scalable analytics data models semantic layers and governed datasets that enable trusted self-service reporting.
- Hands-on experience with data visualization tools such as Looker Power BI or similar platforms.
- Familiarity with cloud platforms such as AWS Azure or equivalent technologies.
- Strong analytical and problem-solving skills with the ability to work independently on complex datasets.
- Knowledge of statistical methods experimentation techniques forecasting and predictive analytics.
- Excellent communication skills with the ability to present complex insights in a clear and accessible manner.
- Proven ability to collaborate across functions and support strategic initiatives through data-driven recommendations.
Nice-to-Have Skills:
- Experience working within a SaaS company or platform engineering organization.
- Familiarity with AI adoption measurement productivity analytics and platform performance frameworks.
- Exposure to product analytics and user behavior analysis for AI-enabled applications.
- Understanding of Autodesks product ecosystem and its applications across industries.
- Masters degree in Data Science Statistics Mathematics Computer Science or a related quantitative field.
About Techedin
Techedin is a global IT staffing and technology services firm helping enterprises build high-performance tech teams. We support innovation at scale by connecting skilled professionals to leading companies and impactful projects. We prioritize transparency responsiveness and the right fit.
Interested in This Opportunity
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At Techedin we welcome applicants of all backgrounds communities and experiences. Our commitment to diversity equity and inclusion drives us to create hiring experiences that are open fair and human-first.
