Toronto, ON, CAN

AMER - Canada - British Columbia - Remote

Montreal, QC, CAN

Vancouver, BC, CAN

Quebec, CAN - Remote

Ontario, CAN - Remote

Full time

26WD100492, Principal Data Analyst
Position Overview
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, solid 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

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 (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 !

Responsabilités

Collaborer avec les chefs de produit et les équipes transversales pour identifier, définir et traiter les problèmes et opportunités métier par le biais de l’analyse de données

Utiliser vos compétences analytiques pour tirer des enseignements exploitables à partir d’ensembles de données volumineux et complexes, et communiquer vos conclusions de manière claire et concise à un public technique et non technique

Définir les mesures de performance des produits à travers les indicateurs phares, les cadres KPI/OKR, les arborescences de métriques, l’instrumentation, les garde-fous et les mesures de lancement pour les initiatives de la plateforme

Utiliser des outils de codage et d’analyse basés sur l’IA pour accélérer le développement en SQL/Python, automatiser les tâches analytiques récurrentes, prototyper des applications ou des assistants de données légers, et créer des flux de travail réutilisables avec validation, traçabilité et révision humaine appropriées

Créer des visualisations de données claires et

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📌 Principal Data Analyst (Quebec City)
🏢 Autodesk
📍 Quebec City