Innovation Marketing Senior Data Analyst

Autodesk; Montreal (administrative region); On-site; CAD 80,000 - 100,000; Full time

Job summary

Autodesk is looking for a Senior Data Analyst in Montreal, Canada, to analyze data and drive growth strategies across the company. You will work within a hybrid environment, conducting complex data analysis and collaborating closely with functional and technical teams.

The ideal candidate will have a Bachelor's degree in a relevant field and at least 5 years of experience in SaaS environments, proficient in SQL and data visualization tools like Tableau. Join us to shape data-driven decisions!

Qualifications

• At least 5 years of experience with growth teams and SaaS software or similar environments.
• Proficient in SQL and data visualization tools such as Tableau or Power BI.
• Experience with advanced statistical analysis techniques and machine learning algorithms.
• Programming skills in languages such as Python or R.

Responsibilities

• Analyze complex data sets to identify trends and insights.
• Implement A/B testing to identify growth strategies.
• Maintain dashboards and reports to track metrics.
• Advise junior data analysts and encourage their growth.
• Improve data governance and ensure data accuracy.
• Stay informed about industry trends in data analytics.
• Collaborate with technical teams to enhance data infrastructure.

Skills

Data analysis

SQL

Data visualization (Tableau, Power BI)

Statistical analysis

Machine learning

Python

R

Data modeling

ETL processes

Collaboration

Education

Bachelor's degree in data science, statistics, mathematics, or computer science

Tools

Tableau

Power BI

Job description

As a Senior Data Analyst in the Innovation and Marketing Lifecycle (ILM) organization, you will join an agile group that leads the development of growth strategies across Autodesk, including business‑driven growth for our product range. You will work with functional and technical teams to conduct in-depth data explorations, analyze experiments and tests, and define growth strategy to influence product partners.

This is an exciting opportunity for someone who enjoys using data to simplify complexity. You will advise on approaches and solutions, influence strategy, and lead the analysis of complex data sets to provide strategic insights that guide decision‑making. Your expertise will shape our data‑driven approach and influence partner teams.

You will join a high‑performing team that collaborates closely. We work remotely and in a hybrid manner, traveling onsite for important meetings when necessary.

Responsibilities

• Analyze complex data sets to identify trends, patterns and insights that inform strategic decision‑making and improve business growth.
• Implement A/B testing and experiments to identify growth loops and onboarding and adoption best practices that drive conversion and renewal.
• Maintain data models, dashboards and reports to track metrics and provide relevant information to team members.
• Collaborate with teams to understand their data and reporting needs, deliver and recommend data‑driven solutions.
• Advise junior data analysts, providing them with technical expertise and encouraging their professional growth.
• Improve data governance and data quality implementation to ensure data accuracy, consistency and reliability.
• Stay informed about industry trends and best practices in data analytics, data visualization and emerging technologies.
• Collaborate with technical teams, innovation operations and marketing lifecycle teams to improve our technology stack, data infrastructure, accessibility and use of data.
• Develop presentations to share results with team members, including senior leaders.
• Align innovation managers and other partners to properly configure and measure tests and experiments.
• Collaborate with other data analysts within the innovation and lifecycle marketing team to populate an analytics backlog and follow team processes to ensure effective delivery of work across the business.

Minimum requirements

• Bachelor's degree in a relevant field such as data science, statistics, mathematics, computer science, or equivalent experience.
• At least 5 years of experience with growth teams and SaaS software or similar environments.
• Knowledge of product usage data.
• Proficient in SQL and data visualization tools such as Tableau or Power BI to extract and present information.
• Experience with advanced statistical analysis techniques and machine learning algorithms.
• Programming skills in languages such as Python or R.
• Proficient in data modeling, data warehousing and ETL processes.