Senior Manager of Analytics

Autodesk, Inc.; Toronto; Hybrid; CAD 120,000 - 150,000; Full time

Job summary

A leading company, Autodesk, is seeking a Senior Manager of Analytics to drive their analytics function. This role involves aligning analytics with business objectives and leading a team to deliver data-driven insights. The ideal candidate will have extensive experience in data analytics, strategic thinking, and a passion for leveraging data to solve complex business problems.

Qualifications

• 12+ years experience in data analytics, 5+ years leading teams.
• Strong understanding of data analysis and statistical techniques.
• Ability to engage cross-functional teams and align with business goals.

Responsibilities

• Drive analytics strategy aligned with business goals.
• Present findings to senior leadership, ensuring clear communication.
• Lead and mentor analytics team, fostering a collaborative culture.

Skills

Data analysis

Statistical modeling

Business intelligence

Leadership

Interpersonal communication

Strategic thinking

Education

Bachelor's or Master's in Data Science, Statistics, Mathematics, Computer Science, Engineering

Tools

Power BI

Looker

Snowflake

Airflow

dbt

Fivetran

AWS

Azure

SQL

Python

Job description

Apply locations : Toronto, ON, CAN; Montreal, QC, CAN

Time type : Full time

Posted on : Posted 30+ Days Ago

Job Requisition ID # 24WD83325

Position Overview

Autodesk has invested in data-driven decision-making, optimizing our platform’s business, product, and cost. The next five years will transform how we work, with a surge in data volume and scaling of AI / ML to provide even greater value to our customers. As the Senior Manager of Analytics, you’ll lead and drive the analytics function within Autodesk's Platform Strategy and Emerging Technologies organization and play a key role in this transformative journey.

You are passionate about delivering proactive insights that shape product strategy and outcomes, rather than only reacting to historical trends. Working closely with stakeholders, you will play a vital role in aligning analytics with business objectives, helping to identify new opportunities and achieve key results. You will leverage cutting-edge analytics tools and techniques to advance the organization’s analytics maturity and explore innovative approaches to data-driven decision-making.

This is an exciting opportunity to join a dynamic, international work environment where data is at the core of everything we do. If you are passionate about leveraging data to drive strategic decision-making, eager to lead impactful analytics initiatives, and excited to work at the intersection of technology and business strategy, then this could be the role for you.

This role will report to the Director of Analytics and Insights and can be based in Montreal or Toronto, Canada in a remote / hybrid capacity.

Responsibilities

• Drive the development and execution of a data and analytics strategy that supports Platform objectives and key results (OKRs). Align analytics initiatives with business goals and serve as the primary contact with key stakeholders to shape and prioritize the analytics roadmap.
• Present findings and recommendations to senior leadership, driving alignment and decision-making at the executive level. Communicate complex analytics results in a clear and actionable way to non-technical audiences.
• Collaborate with stakeholders to prioritize analytics projects based on business impact, ensuring that the team focuses on high-value initiatives aligned with organizational goals.
• Lead and mentor a team of data analysts. Foster a collaborative team culture that encourages continuous learning and innovation. Equip the team to meet evolving business and technology demands.
• Leverage data to provide actionable insights that inform decision-making across platform initiatives. Collaborate with stakeholders to identify key metrics and develop KPIs to track performance.
• Work closely with cross-functional teams and leaders across product, engineering, and business teams to ensure alignment on key objectives and ensure data and insights are integrated into decision-making processes.
• Actively research and apply new methodologies, tools, and technologies in analytics to keep the team at the forefront of industry practices and bring innovative solutions to platform challenges.
• Collaborate with the data engineering and FinOps teams to drive data-driven initiatives that support cloud cost optimization strategies across platform initiatives.
• Partner with the Data Science team to explore and implement advanced analytics techniques, including predictive and prescriptive ML models, to enhance decision-making and drive business outcomes.

Minimum Qualifications

• Minimum 12 years of experience working in a data analytics role with 5+ years of experience in leading and developing analytics teams with an ability to inspire, empower and foster an inclusive, collaborative team culture.
• Strong understanding and 5+ years of experience in data analysis, statistical modeling, data science, and business intelligence principles. Proficiency with Data tools (e.g., Power BI, Looker, Snowflake, Airflow, dbt, Fivetran) and programming languages (e.g. SQL and Python) is essential. Experience working with cloud platforms (e.g., AWS, Azure) and cloud cost optimization strategies is required.
• Understanding of and experience using analytical concepts and statistical techniques : hypothesis development, designing tests / experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
• Excellent interpersonal and communication skills. Ability to engage and collaborate with cross-functional teams, including technical and non-technical stakeholders. Skilled in engaging with stakeholders across various levels, including Directors / VPs, and communicating complex concepts concisely and clearly.
• Ability to think strategically and align analytics initiatives with business goals, providing insights that drive business growth and efficiency.
• Deep understanding of data-driven decision-making processes and a passion for using data to solve complex business problems.

Preferred Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Computer Science, Engineering, or related discipline). However, equivalent practical experience in data analytics or a related discipline is equally valued, reflecting our commitment to diverse educational pathways.
• Prior experience working in a SaaS company or a platform engineering organization is preferred.
• Experience with cloud cost management and FinOps principles is a plus.
• Familiarity with Autodesk’s product portfolio and its applications in various industries is an advantage.

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