Senior AI Analytics Data Analyst

Job Title: Senior AI Analytics, Data Analyst

Location: 100% Remote (Canada)

Job Type: T4 Contract

Experience: 8+ Years

Pay Rate: CAD 75 to 78 Per Hour

Role Summary

We are hiring for a Senior AI Analytics, Data Analyst role where the selected candidate will help measure and accelerate the impact of AI-powered tools across platform engineering and product teams. In 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.

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• 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

• At least 8 years of experience in data analytics, business intelligence, or a related field, preferably within a technology or SaaS environment.
• Bachelor's 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.
• Experience working within a SaaS company or platform engineering organization.
• 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.

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• 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

• 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 the product ecosystem and its applications across industries.
• Master's 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?

Interested in this opportunity? Apply now, and our recruitment team will review your profile and reach out if it aligns with client requirements. We value every application and aim to respond to those closely matching the role criteria. Even if you don't hear back this time, we encourage you to stay connected with us for future opportunities.

Diversity, Equity & Inclusion

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.