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About the Role
Autodesk is seeking a Principal Data Analyst to be a senior individual contributor and trusted thought partner for Product, Engineering, Strategy, Research, and business leaders. This role will define success metrics, identify high-value opportunities, lead experimentation, and build analytical products and AI-assisted workflows to drive better decisions at scale. The ideal candidate will combine deep product analytics judgment, strong SQL/Python skills, software engineering discipline, and fluency with modern AI tools to operate in ambiguity, influence product direction, and create reusable systems.
Responsibilities
- Collaborate with product managers and cross-functional teams to identify, define, and address business problems and opportunities through data analysis.
- Use analytical skills to derive actionable insights from large and complex datasets and communicate findings clearly to technical and non-technical audiences.
- Define product measurement across north-star metrics, KPI/OKR frameworks, metric trees, instrumentation, guardrails, and launch measurement for platform initiatives.
- Utilize AI coding and analysis tools to accelerate SQL/Python development, automate repeatable analytical work, prototype lightweight data applications or assistants, and create reusable workflows with validation, provenance, and human review.
- Create clear and impactful data visualizations using tools such as Power BI, Looker, or similar, to communicate findings and recommendations to stakeholders.
- Build and evolve canonical datasets, semantic models, metric definitions, dashboards, and self-service experiences for reliable consumption by people and AI systems.
- Proactively mine for data-driven insights to support PSET's platform outcomes, focusing on performance, user engagement, and overall business impact.
- Partner with Data Engineering on data quality, lineage, observability, and scalable pipelines, using version control, testing, code review, and reproducible development practices.
- Communicate complex findings as concise decisions and trade-offs for technical and executive audiences; mentor analysts and cross-functional partners on problem framing, experimentation, AI-assisted analytics, and data storytelling.
Requirements
- 8+ years of experience in large data analysis, business intelligence, or a related field, preferably within a technology or SaaS environment.
- Bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline.
- Demonstrated principal/staff level scope: independently shaping ambiguous problems, influencing product roadmaps, and driving decisions across multiple teams.
- Hands-on experience using AI assisted development and analysis tools (Claude Code, Cursor etc.) to accelerate coding, automate workflows, prototype tools, or extend beyond traditional analyst workflows.
- Strong skills in data querying and manipulation with SQL, and proficiency in programming languages like Python or R for data analysis and modeling.
- Experience with data warehouse ELT tools (Airflow, dbt, Snowflake).
- Experience with semantic layers, governed metric definitions, and BI/visualization tools such as Looker or Power BI, with a track record of enabling trustworthy self-service analytics.
- Proven analytical and problem-solving abilities, with the capability to work independently on complex datasets and derive actionable insights.
- Knowledge of statistical techniques and modeling methodologies to drive in-depth data insights and support predictive analytics.
- Strong ability to communicate complex data insights and recommendations to technical and non-technical stakeholders in a clear and accessible manner.
- Effective team player with a strong ability to work across functions, engage with diverse stakeholders, and provide data-driven support for strategic initiatives.
Skills
- SQL
- Python
- R
- Power BI
- Looker
- Airflow
- dbt
- Snowflake
- AI assisted development tools
- Data analysis
- Business intelligence
- Data querying
- Data manipulation
- Data modeling
- Statistical techniques
- Predictive analytics
- Data visualization
- Problem framing
- Experimentation
- Data storytelling
Location
- Remote
Work Type
- Full-time
Experience Level
- Principal
- Staff
Education Level
- Bachelor's degree in a quantitative field
- Master's degree in a quantitative field
Salary/Compensations
- CAD 99,000 - 145,200
Benefits
- Annual cash bonuses
- Stock grants
- Comprehensive benefits package
About the Company
- Autodesk software is used to create amazing things daily, from green buildings and clean cars to smart factories and hit movies. We help innovators turn ideas into reality, transforming how and what can be made. Our culture is central to everything we do, guiding how we work, treat each other, connect with customers and partners, and show up in the world. Autodeskers do meaningful work that helps build a better world designed and made for all.
Equal Opportunity
- We take pride in cultivating a culture of belonging where everyone can thrive.