Senior Data Analyst, Product Analytics

Autodesk

Senior Data Analyst at Autodesk transforming product data into actionable insights. Collaborating with cross-functional teams to improve customer engagement and product performance.

Posted 7/7/2026full-timeToronto • 🇨🇦 CanadaSenior💰 CA$107,000 - CA$156,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Product Analytics and Data Analytics, with a strong focus on SQL, Power BI, and event-based product telemetry analysis. Capable of translating complex data into actionable insights and effectively communicating findings to executive audiences.

Highest-signal resume keywords

Product AnalyticsSQL ExpertisePower BI Dashboard DevelopmentEvent-Based Data AnalysisAnalytical Storytelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product AnalyticsData AnalyticsBusiness AnalyticsSQLHypothesis-Driven Problem SolvingA/B TestingData ModelingKPI DevelopmentData VisualizationAnalytical Methods

Soft Skills

CommunicationCollaborationProblem SolvingStorytelling

Tools & Technologies

Power BITableauLookerDBTAirflowGitHubCloud Data Warehouse

Industry Keywords

Customer EngagementUser Behavior DataProduct TelemetryData QualityAnalytics Infrastructure

Tech Stack

Tools & technologies

AirflowCloudSQLTableau

About the role

Key responsibilities & impact

Partner with Product Managers and Engineering teams throughout the product lifecycle to define success metrics and measurement strategies before features launch
Analyze product telemetry, clickstream, and user behavior data to identify opportunities that improve customer engagement, adoption, and retention
Design, maintain, and evolve scalable product KPIs and data models that provide consistent measurement across products
Build self-service dashboards, reports, and visualizations that enable teams to independently explore product performance while maintaining trusted business definitions
Conduct deep-dive analyses to understand product usage, customer journeys, and feature performance, translating findings into actionable recommendations
Develop hypotheses, evaluate product changes, and support experimentation and A/B testing where applicable
Partner with Data Engineering to improve event instrumentation, data quality, and analytics infrastructure
Communicate analytical findings to executive and cross-functional audiences through clear storytelling and data visualization
Improve analytics documentation, metric definitions, and best practices to promote consistency and scalability across teams

Requirements

What you’ll need

5+ years of experience in Product Analytics, Data Analytics, or Business Analytics
Demonstrated experience presenting analytical findings and recommendations to senior leadership and executive audiences
Expertise in SQL and working with modern cloud data warehouse environments
Advanced experience building dashboards and visualizations using Power BI (required); experience with Tableau or Looker is a plus
Experience analyzing event-based product telemetry, clickstream, or user behavior datasets
Strong understanding of analytical methods, hypothesis-driven problem solving, and translating ambiguous business questions into measurable analyses
Experience working with modern analytics engineering and data pipeline technologies (DBT, Airflow, GitHub, or similar)
Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Economics, Engineering, or equivalent practical experience)

Benefits

Comp & perks

Annual cash bonuses
Commissions for sales roles
Stock grants
Comprehensive benefits package