Senior Data Analyst, Product Analytics

Autodesk; Toronto, Vancouver; On-site; CAD 90,000 - 120,000; Full time

Job summary

Autodesk in Canada is seeking a Senior Data Analyst - Product Analytics to partner with Product, Engineering, Design, Finance, Sales, and Marketing to turn product data into actionable insights.

You will define success metrics, build scalable measurement frameworks, and translate analyses into stories that drive product decisions. Hybrid work with options to work remotely from Toronto or Vancouver.

Qualifications

• 5+ years of experience in Product Analytics, Data Analytics, or Business Analytics.

Responsibilities

• 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

Skills

SQL

Power BI

Tableau

Looker

Python

A/B testing

Data modeling

Cloud data warehouse

Education

Bachelor's degree in a quantitative field

Tools

DBT

Airflow

GitHub

Job description

Job Requisition ID #

26WD99763

Position Overview

Data is central to how we understand customer behavior, measure product success, and build better experiences for our customers. Autodesk is seeking a Senior Data Analyst - Product Analytics to join the Product Development & Manufacturing Solutions organization. In this role, you'll partner closely with Product Managers, Engineering, Design, Finance, Sales, and Marketing to transform product data into actionable insights that influence product strategy and business outcomes.

As a trusted analytics partner, you will help answer critical questions about feature adoption, customer engagement, retention, and product health. You\'ll define meaningful success metrics, develop scalable measurement frameworks, and uncover opportunities to improve the customer experience through data.

We\'re looking for someone who thrives in ambiguity, is naturally curious, and enjoys asking difficult questions that lead to better decisions. You combine strong analytical thinking with business acumen and exceptional communication skills to translate complex analyses into compelling stories that drive action.

At Autodesk, we value a hybrid work culture. Remote work is supported in Toronto and Vancouver, Canada. If you live near one of our offices, you\'re welcome to work there full- or part-time based on your preference.

Responsibilities

• 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

Minimum Qualifications

• 5+ years of experience in Product Analytics, Data Analytics, or Business Analytics, including experience influencing product or business decisions through data




• 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)

Preferred Qualifications

• Experience with experimentation frameworks, A/B testing, or product measurement methodologies




• Experience using Python (pandas, Jupyter, NumPy, or similar) for exploratory analysis and automation




• Familiarity with product analytics platforms such as Amplitude, Mixpanel, Pendo, or similar tools




• Experience integrating product analytics with Sales and Marketing data sources (Salesforce, Marketo, etc.)




• Experience working within SaaS or cloud software organizations

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