Principal Data Analyst

Role Summary

Job Requisition ID #

26WD100492

L'affichage de poste en français suivra / The French job posting follows.

26WD100492, Principal Data Analyst

Autodesk has invested in data-driven decision-making, optimizing our platform’s business, product, and cost. The next five years will transform how we work, with a surge in data volume and scaling of AI/ML to provide even greater value to our customers. We are looking for a Principal Data Analyst to serve as a senior individual contributor and trusted thought partner to Product, Engineering, Strategy, Research, and business leaders. You will define how success is measured, uncover high-value opportunities, lead rigorous experimentation, and build trusted analytical products and AI assisted workflows that turn complex data into better decisions at scale.

This role combines deep product analytics judgment, strong SQL/Python capability, software engineering discipline, and practical fluency with modern AI tools. You will operate comfortably in ambiguity, influence product direction, and create reusable systems that increase the leverage of teams across the organization.

If you are excited about empowering teams and influencing the organization with insights that drive success, this is the role for you!

Responsibilities

• Collaborate with product managers and cross-functional teams to identify, define, and address business problems and opportunities through data analysis
• Use your analytical skills to derive actionable insights from large and complex datasets and communicate findings in a clear and concise manner 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
• Use 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 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 drive 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; use 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
• Collaborate with product managers and cross-functional teams to identify, define and address business problems and opportunities through data analysis
• Use your analytical skills to derive actionable insights from large and complex data sets, and communicate your findings clearly and concisely to technical and non-technical audiences
• Define product performance metrics across key metrics, KPI/OKR frameworks, metric trees, instrumentation, guardrails and launch metrics for platform initiatives
• Use AI-driven coding and analysis tools to accelerate development in SQL/Python, automate recurring analytical tasks, prototype lightweight applications or data assistants, and create reusable workflows with appropriate validation, traceability, 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 leveraged by both users and AI systems
• Proactively leverage data to derive insights to support PSET platform outcomes, with a focus on performance, user engagement and overall business impact
• Collaborate with the data engineering team on data quality, traceability, observability and scalable pipelines; use version control, testing, code review, and repeatable development practices for high-value analytics assets
• Communicate complex findings as concise decisions and compromises to technical and management audiences; mentor analysts and cross-functional partners on problem formulation, experimentation, AI-powered analysis, and data discovery

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

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
• 26WD100492, Analyste principal des données
• Aperçu du Poste

Autodesk s’est engagé dans une démarche de prise de décision fondée sur les données, visant à optimiser les activités, les produits et les coûts de notre plateforme. Les cinq prochaines années vont transformer notre façon de travailler, avec une explosion du volume de données et une généralisation de l’IA et du ML afin d’apporter encore plus de valeur à nos clients. Nous recherchons un analyste de données principal qui jouera le rôle de collaborateur senior et de partenaire de réflexion de confiance auprès des responsables des produits, de l’ingénierie, de la stratégie, de la recherche et des dirigeants de l’entreprise. Vous définirez les indicateurs de réussite, identifierez les opportunités à forte valeur ajoutée, mènerez des expérimentations rigoureuses et développerez des outils analytiques fiables ainsi que des flux de travail assistés par l’IA, capables de transformer des données complexes en meilleures décisions à grande échelle.

Ce poste allie un sens aigu de l’analyse produit, de solides compétences en SQL et Python, une rigueur en ingénierie logicielle et une maîtrise pratique des outils modernes d’IA. Vous serez à l’aise dans l’ambiguïté, influencerez l’orientation des produits et créerez des systèmes réutilisables qui renforceront l’efficacité des équipes à tous les niveaux de l’organisation.

• Si vous êtes motivé(e) par l’idée de donner les moyens d’agir aux équipes et d’influencer l’organisation grâce à des informations qui favorisent la réussite, ce poste est fait pour vous !
• At least 8 years of experience in large data analysis, business intelligence or a related field, preferably in a technology or SaaS environment
• Bachelor's degree in a quantitative field such as data science, statistics, mathematics or a related discipline. Proven ability to act at the level of a manager or executive: autonomously identify ambiguous problems, influence product roadmaps and manage decisions within several teams
• Hands-on experience using AI-powered development and analysis tools (Claude Code, Cursor, etc.) to accelerate coding, automate workflows, prototype tools, or go beyond traditional analyst workflows
• Strong skills in querying and manipulating data with SQL, and proficiency in programming languages such as Python or R for data analysis and modeling.

Experience with ELT data warehouse tools (Airflow, dbt, Snowflake)

Experience with semantic layers, governed metric definitions and BI/visualization tools such as Looker or Power BI, with a proven track record of implementing reliable self-service analytics

• Proven analytical and problem-solving skills, with the ability to work independently on complex data sets and derive actionable insights
• Knowledge of statistical techniques and modeling methodologies to obtain in-depth data analyzes and support predictive analysis
• Strong ability to communicate complex data-driven insights and recommendations to technical and non-technical stakeholders in a clear and accessible manner

Effective team player, with a strong ability to work cross-functionally, interact with diverse stakeholders and provide data-driven support for strategic initiatives

Desired Qualifications

• Prior experience within a SaaS company or platform engineering organization is desired
• Knowledge of Autodesk's product portfolio and its applications across various industries is an asset
• Experience analyzing AI/ML or agentic products, including evaluation frameworks and trade-offs for quality, task success, latency, reliability or cost

Experience developing lightweight internal data products, analytical applications, or large-scale language model (LLM)-based tools connected to governed enterprise data

• Master's degree in a quantitative field such as data science, statistics, mathematics or a related discipline
• Learn More
• 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 Autodesk er, 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:
• In-Person Onboarding and Identity Verification
• This role may require in-person onboarding and/or in-person ID verification.
• Are you an existing contractor or consultant with Autodesk?
• Please search for open jobs and apply internally (not on this external site).

About the Company

Why Join Autodesk?

Job Level Description

Please note that this is NOT an open position. Please submit your CV here for future consideration.

Learn More

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. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Sales Careers

Working in sales at Autodesk allows you to build meaningful relationships with customers while growing your career. Join us and help make a better, more sustainable world. Learn more here: https://www.autodesk.com/careers/sales

Diversity & Belonging