Senior AI Productivity Data Analyst

Job Title: Senior AI Productivity - DataAnalyst
Job Type: T4 Contract
Location: Hybrid Ontario Canada
Experience: 8 Years
Rate: CAD $60 - $70 per hour
Education: Bachelors degree in Data Science Statistics Mathematics Computer Science Economics Engineering or a related quantitative discipline.

Role Summary

NearSource is seeking a Senior AI Productivity Analyst to help measure evaluate and scale the impact of AI-native and AI-augmented tools across enterprise platform organizations. This role will partner with product engineering strategy and finance teams to establish trusted metrics uncover actionable insights and drive data-informed decisions that improve productivity operational effectiveness and product outcomes.

The successful candidate will combine advanced analytics expertise with hands-on experience leveraging AI tools to accelerate analysis experimentation and decision-making. This role is ideal for a data professional who thrives at the intersection of analytics AI innovation business strategy and platform transformation.

Key Responsibilities

• Partner with product managers engineering leaders and cross-functional stakeholders to define business questions success metrics and analytical frameworks for AI tooling platform productivity and emerging technology initiatives.
• Analyze large and complex datasets to identify adoption patterns usage behaviors productivity trends and opportunities to improve AI-enabled workflows and platform outcomes.
• Monitor and report on key performance indicators across AI initiatives providing leadership teams with visibility into performance risks opportunities and strategic impact.
• Consolidate and integrate data from multiple sources to create trusted scalable analytics assets that support organizational decision-making.
• Develop clear impactful dashboards reports and visualizations that communicate complex findings to both technical and non-technical stakeholders.
• Apply statistical analysis forecasting experimentation methodologies and predictive modeling techniques to evaluate initiative effectiveness and guide prioritization decisions.
• Design and maintain scalable analytics data models semantic layers and governed datasets that enable reliable self-service reporting across the organization.
• Leverage AI tools and AI-assisted workflows to accelerate analysis automate repetitive tasks build lightweight prototypes and enhance analytical productivity.
• Ensure data quality consistency and integrity through robust validation monitoring and governance practices.
• Translate analytical findings into actionable recommendations that influence product strategy investment decisions and operational improvements.

Must-Have Skills

• 8 years of experience in data analytics business intelligence product analytics or a related field within a technology or SaaS environment.
• Bachelors degree in Data Science Statistics Mathematics Computer Science Economics Engineering or a related quantitative discipline.
• Demonstrated experience using AI productivity tools such as Claude Code Cursor or similar platforms to extend analytical capabilities and automate workflows.
• Hands-on experience leveraging AI tooling to accelerate data analysis generate insights and develop lightweight analytical solutions or prototypes.
• Advanced SQL expertise for querying transforming and analyzing large-scale datasets.
• Strong proficiency in Python or R for data analysis statistical modeling automation and experimentation.
• Experience working with modern data platforms and ELT technologies including Snowflake dbt Airflow or equivalent solutions.
• Experience designing and maintaining scalable analytics data models semantic layers and governed reporting datasets.
• Experience developing dashboards and executive reporting using Looker Power BI or comparable visualization platforms.
• Strong understanding of statistical analysis experimentation frameworks forecasting methodologies and predictive analytics techniques.
• Experience working with cloud platforms such as AWS Azure or similar environments.
• Proven analytical problem-solving and critical-thinking capabilities.
• Strong ability to communicate complex data insights and recommendations to both technical and non-technical stakeholders.
• Proven ability to collaborate effectively across product engineering strategy finance and executive leadership teams.

Nice-to-Have Skills

• Experience working within platform engineering developer productivity or internal tooling organizations.
• Prior experience measuring the impact and adoption of AI-enabled products workflows or productivity initiatives.
• Familiarity with product analytics frameworks experimentation platforms and usage telemetry analysis.
• Experience supporting strategic planning investment analysis or operational performance initiatives.
• Knowledge of enterprise SaaS business models and platform ecosystems.
• Familiarity with Autodesk products and technology platforms.
• Experience building advanced forecasting models and business impact assessments for emerging technologies.
• Masters degree in Data Science Statistics Mathematics Engineering Economics or a related quantitative discipline.

About NearSource

NearSource Technologies is a trusted partner for future-ready software consulting enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the worlds most admired brands working directly on long-term client initiatives.

Apply Now

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Thank you for considering a career with us! Once you submit your application our Talent Acquisition team will review your resume thoroughly. If theres a strong match well reach out to discuss your experience role details benefits compensation and next steps. While we strive for transparency we may not be able to respond to every applicant due to high volume but we genuinely appreciate your time and interest.

Equal Opportunity Employer

NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race gender religion sexual orientation age disability or background. Innovation thrives when everyone feels empowered to contribute.