Senior Data Analyst, Autodesk Education

Job Requisition ID # 26WD100787 Position Overview Autodesk Education Experiences, or AEX, helps students, educators, and education institutions build the skills and experience needed for the future of design and make. We strengthen connections between education and industry, expand adoption of Autodesk technology, and support workforce readiness in an increasingly AI-enabled world. We are looking for a Senior Data Analyst to join the Business Operations and Analytics team. You will partner with Marketing, Sales, Operations, Strategy, and other teams to understand business needs, scope analytical work, and turn customer and business data into clear insights and practical recommendations. This role focuses on delivering insights and decision support while collaborating with data and technology teams as needed. You will work hands-on with SQL, Python, Snowflake, and business intelligence tools, and use approved AI tools to improve the speed and quality of analysis, coding, synthesis, and communication. Responsibilities Partner with stakeholders to understand business goals, clarify analytical needs, and translate broad questions into focused analyses, metrics, and deliverables Analyze customer behavior, product usage, engagement, retention, marketing performance, and operational outcomes Use SQL, Python, Snowflake, visualization tools, and appropriate analytical methods to answer business questions Build and maintain dashboards, reports, and reusable analyses that support decision-making Identify trends, risks, and opportunities and translate findings into clear, practical recommendations Communicate insights through visualizations, written narratives, presentations, and discussions tailored to technical and nontechnical audiences Use approved generative AI tools to support analysis, coding, documentation, automation, synthesis, and business communication while validating outputs for accuracy and appropriate data handling Minimum Qualifications 3+ years of professional experience in data analysis, business intelligence, customer analytics, marketing analytics, product analytics, or a related field Bachelor’s degree, professional credential, or equivalent practical experience in a quantitative, analytical, business, or related discipline Strong SQL skills and experience independently querying, combining, validating, and analyzing data in Snowflake or a comparable platform Experience using Python or another analytical programming or scripting language Experience with a business intelligence or visualization platform such as Power BI, Tableau, Looker, or a comparable tool Experience partnering with business stakeholders to scope analytical work and translate findings into actionable recommendations Demonstrated use of generative AI tools—such as Claude, Claude Code, Cursor, Cortex AI, or comparable platforms—to improve analytical, coding, or communication workflows Preferred Qualifications Experience supporting Marketing, Sales, Operations, customer lifecycle, or product teams Experience in technology, SaaS, education, or another data-rich environment Experience using analytical methods to understand customer behavior or business performance The Ideal Candidate You are curious, analytical, and comfortable working with both data and people. You can move from an unclear business question to a focused analysis, explain your reasoning, and communicate what the data means in practical terms. You are hands-on with analytical tools and use AI as a standard part of getting work done. You understand that AI can improve speed and quality, while judgment, validation, and clear communication remain your responsibility. #LI-EP1 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. For Canada based roles, we expect a starting base salary between $80,000 and $117,700. 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. Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).

The Senior Data Analyst will partner with cross-functional teams to translate business needs into actionable analytical insights and metrics. They will build dashboards, maintain reports, and utilize SQL, Python, and AI tools to analyze customer behavior and operational outcomes.

Candidates must have at least 3 years of professional experience in data or business analytics and a bachelor's degree or equivalent practical experience. Proficiency in SQL, Python, and business intelligence platforms like Tableau or Power BI is required.

• Annual cash bonuses • Stock grants • Comprehensive benefits package

• Visualisation de donnéesSouhaitée
• SQLSouhaitée
• Analyse de donnéesSouhaitée
• CommunicationSouhaitée
• ReportingSouhaitée
• Stakeholder ManagementSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• SQL
• Python
• Snowflake
• Business intelligence
• Data analysis
• Marketing analytics
• Product analytics
• Customer analytics
• Generative AI
• Data visualization
• Dashboarding
• Stakeholder management
• Reporting
• Predictive modeling
• Communication
• Claude Code
• Generative Artificial Intelligence
• Autodesk
• Business Operations
• Workflow Management
• Curiosity
• Snowflake (Data Warehouse)
• Product Analytics
• Analytical Method
• Artificial Intelligence
• Analytics
• Data Analysis
• Automation
• Business Intelligence
• Business Communication
• Dashboard
• Business Intelligence Tools
• Consumer Behaviour
• Decision Making
• Software As A Service (SaaS)
• Customer Analytics
• Customer Lifecycle Management
• Decision Support Systems
• Sales
• Marketing
• Python (Programming Language)
• Language Experience Approach
• Marketing Analytics
• Marketing Performance Measurement And Management
• Presentations
• Power BI
• Sales Operations
• SQL (Programming Language)
• Tableau (Business Intelligence Software)
• Scripting

• Data & Analytics
• Technology
• Software
• Marketing
• Education
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Formation minimale

Baccalauréat

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine