Senior Data Analyst

2 months ago

Montreal, Quebec, Canada Autodesk Full time
About the Role

We are seeking a highly skilled Senior Data Analyst to join our Innovation Marketing team at Autodesk. As a Senior Data Analyst, you will play a critical role in driving business growth and informing strategic decision-making through data-driven insights.

Key Responsibilities
  • Data Analysis and Insights: Lead the analysis of complex data sets to identify trends, patterns, and insights that inform strategic decision-making and improve business growth.
  • Experimentation and Testing: Establish A/B tests and experiments to identify growth loops and leading practices for onboarding and adoption that lead to conversion and renewals.
  • Data Modeling and Visualization: Maintain advanced data models, dashboards, and reports to track measurements and provide relevant insights to team members.
  • Collaboration and Communication: Collaborate with teams to understand their data and reporting needs and provide recommendations for data-driven solutions.
  • Mentorship and Development: Mentor junior data analysts, providing technical expertise and encouraging their professional growth.
  • Data Governance and Quality: Improve the implementation of data governance and data quality programs to ensure accuracy, consistency, and reliability of data.
  • Staying Current with Industry Trends: Stay up to date with industry trends and best practices in data analysis, data visualization, and new technologies.
  • Collaboration with Technical Teams: Collaborate with technical teams and ILM Ops to improve our tech stack, improve data infrastructure, and enhance data accessibility and usability.
  • Presentation and Communication: Develop presentations to share findings with team members, including senior leadership.
  • Experimentation and Testing Alignment: Align with Innovation Managers and other partners to set up and measure experiments and tests correctly.
  • Collaboration with Data Analysts: Collaborate with other Data Analysts within ILM to maintain a backlog of analysis, and establish process and structure to support the efficient delivery of work products across the entire organization.
Requirements
  • Education: Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, or Computer Science.
  • Experience: 5+ years working with growth teams and in SaaS or similar environments.
  • Skills: Familiarity with product usage data, proficiency in SQL and data visualization tools, experience with advanced statistical analysis techniques and machine learning algorithms, programming skills in languages such as Python or R, familiarity with data modeling, data warehousing, and ETL processes.

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