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Senior Data Analyst, Product Analytics
AutodeskSenior Data Analyst at Autodesk transforming product data into actionable insights. Collaborating with cross-functional teams to improve customer engagement and product performance.
Tech Stack
Tools & technologiesAirflowCloudSQLTableau
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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Product AnalyticsData AnalyticsBusiness AnalyticsSQLHypothesis-Driven Problem SolvingA/B TestingData ModelingKPI DevelopmentData VisualizationAnalytical Methods
Soft Skills
CommunicationCollaborationProblem SolvingStorytelling