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Montreal, Quebec, Canada

Internship

Onsite

Intern

Autodesk is a company that helps innovators turn their ideas into reality through their software. They are seeking a Business Intelligence & Insights Intern to deliver analytics support and actionable insights, focusing on embedding AI into day-to-day analytics and building solutions using various technologies.

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Responsibilities

Stakeholder discovery: interview team members and stakeholders to understand roles, workflows, and pain points; translate findings into prioritized problem statements and success metrics
AI for analytics enablement: design and build AI-assisted experiences that help users self-serve answers (e.g., natural-language Q&A over web metrics, guided metric definitions, dashboard summarization and experimentation readouts)
Tool building and integration: prototype and deliver usable tools (web apps, share-outs, Power BI reports, or chat-based interfaces) and document how to use them; iterate quickly based on feedback
Data grounding and evaluation: connect tools to trusted data sources (e.g., Snowflake, Adobe analytics platforms, Power BI datasets); implement guardrails, logging, and lightweight evaluation
Text analytics exploration: mine Salesforce case and chat text fields for themes, sentiment, and emerging issues; create dashboards, central data repositories or recurring insight summaries for stakeholders
Communication: present demos and recommendations; create training materials that improve AI and data literacy for partners

Qualification

Required

Currently pursuing a Bachelor's or Master's degree in analytics, computer science, engineering, statistics, math, business administration (including an MBA), or a related field
In your final year of studies, and available for a summer internship based in Montreal, QC
Professional proficiency in English and French
Working knowledge of SQL, Excel and Power BI and basic data analysis concepts (joins, aggregation, data models, trends)
Interest in applying AI/LLMs to real business problems (e.g., Copilot, ChatGPT-style tools) and willingness to learn new technologies quickly
Strong communication skills and comfort collaborating with diverse, globally distributed partners

Preferred

Intermediate to advanced SQL; experience with Microsoft tools such as Power Automate, Power Apps, and automation
Exposure to building small tools or apps (e.g., Power BI, or Teams/Slack bots)
Familiarity with LLM concepts such as prompt design and evaluating model outputs
Experience with text analytics/NLP (sentiment analysis, topic modeling, or classification) and working with unstructured data
Ability to think outside the box
Comfort translating ambiguous stakeholder needs into clear requirements and an execution plan