Principal Data Analyst

Toronto, ON, CAN

AMER
- Canada
- British Columbia
- Remote

Montreal, QC, CAN

Vancouver, BC, CAN

Quebec, CAN - Remote

Ontario, CAN - Remote

Full time

26WD100492

Job

Requisition  #

26WD100492

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

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, 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

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…