Principal Data Analyst

Autodesk is seeking a Principal Data Analyst to play a pivotal role in scaling its data-driven decision-making and integrating AI/ML across its platform. This is a high-impact senior individual contributor position, offering a unique opportunity to influence product direction, lead rigorous experimentation, and build trusted analytical products. Candidates with a blend of deep product analytics judgment, strong technical skills in SQL/Python, and practical fluency with modern AI tools will thrive in this environment, shaping how Autodesk leverages data to deliver greater value to its customers. ### Job Requisition ID 26WD100492 ### Position Overview Autodesk has significantly invested in data-driven decision-making to optimize its platform's business, product, and cost. The next five years will revolutionize how we work, marked by a surge in data volume and the scaling of AI/ML to provide even greater value to our customers. We are actively seeking a Principal Data Analyst to serve as a senior individual contributor and a trusted thought partner to Product, Engineering, Strategy, Research, and business leaders. In this role, you will be responsible for defining success metrics, uncovering high-value opportunities, leading rigorous experimentation, and building reliable analytical products and AI-assisted workflows that translate complex data into better, scalable decisions. This role demands a combination of deep product analytics judgment, strong SQL/Python capabilities, software engineering discipline, and practical fluency with modern AI tools. You will need to operate comfortably in ambiguous situations, influence product direction, and create reusable systems that enhance the leverage of teams across the organization. If you are passionate about empowering teams and influencing the organization with data-driven insights to foster success, this role is an excellent fit for you! ### Responsibilities * Collaborate with product managers and cross-functional teams to identify, define, and address business problems and opportunities through data analysis. * Utilize your analytical skills to derive actionable insights from large and complex datasets and communicate findings clearly and concisely to both 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. * Employ AI coding and analysis tools to accelerate SQL/Python development, automate repeatable analytical tasks, prototype lightweight data applications or assistants, and create reusable workflows with appropriate 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 across the organization. * Build and evolve canonical datasets, semantic models, metric definitions, dashboards, and self-service experiences that can be reliably consumed by both 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; apply version control, testing, code review, and reproducible development practices for high-value analytical assets. * 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. ### Minimum Qualifications * 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 (e.g., Claude Code, Cursor) 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 (e.g., 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. ### Preferred Qualifications * Prior experience working in a SaaS company or a platform engineering organization is preferred. * Familiarity with Autodesk's product portfolio and its applications in various industries is an advantage. * Experience analyzing AI/ML or agentic products, including evaluation frameworks and quality, task success, latency, reliability, or cost trade-offs. * Experience building lightweight internal data products, analytical applications, or LLM-enabled tools connected to governed enterprise data. * Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline. ### About Autodesk Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! ### Salary Transparency Salary is one part of Autodesk's competitive compensation package. For Canada-based roles, we expect a starting base salary between $99,000 and $145,200. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. ### Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging ### In-Person Onboarding and Identity Verification This role may require in-person onboarding and/or in-person ID verification. ### Note for Existing Contractors/Consultants Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).