About the role

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

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

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)