Data Analyst/SQL Analyst

AMER
- Canada
- British Columbia
- Remote Montreal, QC, CAN Quebec, CAN
- Remote Ontario, CAN
- Remote Full time 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. 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 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. 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 ~ 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 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 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 produ