Senior Data Analyst, Product Analytics

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 will 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.

You will help answer critical questions about feature adoption, customer engagement, retention, and product health, defining success metrics, developing scalable measurement frameworks, and uncovering opportunities to improve the customer experience through data. You thrive in ambiguity, are naturally curious, and enjoy asking difficult questions that lead to better decisions. Strong analytical thinking, business acumen, and exceptional communication skills are required to translate complex analyses into compelling stories that drive action.

Autodesk supports a hybrid work culture. Remote work is supported in Toronto and Vancouver, Canada; you can also work in the office full‑ or part‑time based on your preference.

• 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.

• 5+ years of experience in Product Analytics, Data Analytics, or Business Analytics, including influence on 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, Git Hub, or similar).
• Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Economics, Engineering, or equivalent practical experience).

• Experience with experimentation frameworks, A/B testing, or product measurement methodologies.
• Experience using Python (pandas, Jupyter, Num Py, 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.

For Canada based roles, we expect a starting base salary between $107,000 and $156,200. Offers are based on the candidate’s experience and geographic location and may exceed this range. In addition to base salaries, the compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.