Senior Data Analyst, Autodesk Education
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Key skills for this role
Role Overview
Autodesk Education Experiences helps students, educators, and education institutions build future-ready design and make skills.
The Senior Data Analyst will join the Business Operations and Analytics team.
The role partners with Marketing, Sales, Operations, Strategy, and other teams to turn customer and business data into insights and recommendations.
Key Skills for This Role
Full Job Posting
Position Overview
Autodesk Education Experiences helps students, educators, and education institutions build future-ready design and make skills.
The Senior Data Analyst will join the Business Operations and Analytics team.
The role partners with Marketing, Sales, Operations, Strategy, and other teams to turn customer and business data into insights and recommendations.
Responsibilities
- Partner with stakeholders to understand business goals, clarify analytical needs, and translate broad questions into focused analyses and metrics.
- Analyze customer behavior, product usage, engagement, retention, marketing performance, and operational outcomes.
- Use SQL, Python, Snowflake, visualization tools, and analytical methods to answer business questions.
- Build and maintain dashboards, reports, and reusable analyses for decision-making.
- Identify trends, risks, and opportunities and translate findings into practical recommendations.
- Communicate insights through visualizations, written narratives, presentations, and discussions for technical and nontechnical audiences.
- Use approved generative AI tools to support analysis, coding, documentation, automation, synthesis, and communication while validating outputs.
Minimum Qualifications
- At least 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 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.
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.
Candidate Profile
The ideal candidate is curious, analytical, and comfortable moving from unclear business questions to focused analyses.
The candidate should explain analytical reasoning and communicate what data means in practical terms.
The role expects responsible use of AI, including judgment, validation, and appropriate data handling.
Salary Transparency
- For Canada-based roles, the expected starting base salary is $80,000–$117,700.
- Offers depend on experience and geographic location and may exceed the stated range.
- Additional compensation may include annual cash bonuses, stock grants, and benefits.
Onboarding
- The role may require in-person onboarding and/or in-person identity verification.
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