Senior Data Analyst

Position Overview:

Autodesk has invested in data-driven decision-making,optimizingour 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.We arelooking fora SeniorDataAnalystto join Autodesk’sPlatform Strategy and Emerging Technologiesorganizationon this transformative journey andto drive data-informed decision-making through advanceddataanalytics and insights.

You are passionate about delivering proactive insights and partnering with stakeholders to generateanalysis thatthat influence product roadmap decisions.You will play a pivotal role in empowering product teams by surfacing valuablecustomer and product usagedata andactinga thought partner, guiding them in turning insights into strategic actions. Yourexpertisein uncovering trends and translatinglarge streams ofdata into clear, actionable insights will drive forward platform strategic initiatives and elevate decision-making across our organization.

If you are excited aboutempowering teams and influencing the organization with insights that drive success, this is the role for you!

Key Responsibilities:

• Collaborate withproduct managers andcross-functional teams toidentify, 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) andobjectivesand key results (OKRs) across platform initiatives, providing regular updates and insights to key stakeholdersandensuring 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 totechnical andnon-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.

• Proactivelymine fordata drive insightsto support PSET'splatforminitiatives, focusing on performance, user engagement, and overall business impact.

• Develop and implement advanced data models and statistical analyses to forecast trends, predict outcomes, andoptimizedecision-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.Identifyand resolve data discrepancies as needed.

Required Qualifications:

• 5+ years of experience inlargedata 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, ora relateddiscipline.

• Strong skills in data querying and manipulation with SQL, andproficiencyin programming languages like Python or R for data analysis and modeling.Experiencewith data warehouse ELTtools(Airflow,dbt, Snowflake).

• Experience with data visualization tools such asLooker, Power BI, or similar, with the ability to create clear, engaging, and impactful dashboards. Familiarity with AWS,Azureor similar cloud platforms.

• Proven analytical and problem-solving abilities, with the capability to work independently on complex datasets and derive actionable insights.

• Knowledge ofstatistical techniques and modeling methodologies to drive in-depth data insights and support predictive analytics.

• Strong ability to communicate complex data insights and recommendations totechnical andnon-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 degreein a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline.