Senior Data Analyst

Senior Data Analyst at Autodesk

Autodesk has significantly invested in data-driven decision-making to optimize its platform’s business, product, and cost. The coming five years will revolutionize our operational methods, marked by a substantial increase in data volume and the scaling of AI/ML to deliver enhanced value to our customers. We are actively seeking a Senior Data Analyst to join Autodesk’s Platform Strategy and Emerging Technologies organization, contributing to this transformative journey by driving data-informed decision-making through advanced data analytics and insights.

You possess a strong passion for delivering proactive insights and collaborating with stakeholders to produce analyses that directly influence product roadmap decisions. In this pivotal role, you will empower product teams by revealing valuable customer and product usage data, acting as a thought partner to guide them in converting insights into strategic actions. Your expertise in uncovering trends and translating extensive data streams into clear, actionable insights will propel platform strategic initiatives and elevate decision-making across our entire organization.

If you are enthusiastic about empowering teams and influencing the organization with data-driven insights, this is the ideal role for you!

Key Responsibilities

• Collaborate with product managers and cross-functional teams to identify, define, and address business problems and opportunities through data analysis.
• Use your analytical skills to derive actionable insights from large and complex datasets.
• Monitor and track key performance indicators (KPIs) and objectives and key results (OKRs) across platform initiatives, providing regular updates and insights to key stakeholders and ensuring visibility into data-driven insights that support organizational goals.
• Work closely with product, engineering, and business teams to understand their data needs, provide analytical support, and communicate findings in a clear and concise manner to technical and non-technical audiences.
• Create clear and impactful data visualizations using tools such as Power BI, Looker, or similar, to communicate findings and recommendations to stakeholders across the organization.
• Proactively mine for data-driven insights to support PSET's platform initiatives, focusing on performance, user engagement, and overall business impact.
• Develop and implement advanced data models and statistical analyses to forecast trends, predict outcomes, and optimize decision-making processes across platform initiatives.
• Ensure data accuracy, consistency, and integrity by following best practices in data collection, cleaning, and analysis, allowing for high-quality insights. Identify and resolve data discrepancies as needed.

Required Qualifications

• 5+ years of experience in large data analysis, business intelligence, or a related field, preferably within a technology or SaaS environment.
• Bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline.
• Strong skills in data querying and manipulation with SQL, and proficiency in programming languages like Python or R for data analysis and modeling.
• Experience with data warehouse ELT tools (Airflow, dbt, Snowflake).
• Experience with data visualization tools such as Looker, Power BI, or similar, with the ability to create clear, engaging, and impactful dashboards.
• Familiarity with AWS, Azure or similar cloud platforms.
• Proven analytical and problem-solving abilities, with the capability to work independently on complex datasets and derive actionable insights.
• Knowledge of statistical techniques and modeling methodologies to drive in-depth data insights and support predictive analytics.
• Strong ability to communicate complex data insights and recommendations to technical and non-technical stakeholders in a clear and accessible manner.
• Effective team player with a strong ability to work across functions, engage with diverse stakeholders, and provide data-driven support for strategic initiatives.

Preferred Qualifications

• Prior experience working in a SaaS company or a platform engineering organization is preferred.
• Familiarity with Autodesk’s product portfolio and its applications in various industries is an advantage.
• Master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline.

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary Transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada-BC based roles, we expect a starting base salary between $78,000 and $114,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Key skills/competency

• Data Analysis
• SQL
• Python
• R
• Data Visualization
• Power BI
• Looker
• Statistical Modeling
• Business Intelligence
• Cloud Platforms (AWS/Azure)