Jun Peh

Jun Yang Peh is currently serving as an Enablement Data Analyst Intern at Autodesk, where he plays a pivotal role in leveraging data-driven insights to optimize business performance and enhance customer satisfaction. In this capacity, Jun Yang is responsible for designing and developing Business Impact KPI models that quantify the influence of various programs and initiatives on key organizational outcomes. His work involves establishing meaningful connections between GRE Program Consumption metrics, customer satisfaction scores, and broader business impacts, enabling Autodesk to make informed strategic decisions.

Throughout his internship, Jun Yang collaborates closely with cross-functional teams within the GRE and Global Revenue Operations (GRO) divisions. This collaborative approach ensures alignment on project timelines, deliverables, and data analysis methodologies, fostering consistency and accuracy across enterprise-wide initiatives. His expertise in data wrangling, visualization, and management using tools such as Microsoft PowerBI, R, and Python allows him to translate complex datasets into actionable insights. These insights support process improvements, operational efficiencies, and targeted customer engagement strategies.

Jun Yang’s proficiency in programming languages like Python and R, combined with his skills in web scraping, data pipelines, and dashboard development, positions him as a valuable asset in Autodesk’s data analytics ecosystem. His understanding of cybersecurity and operations management further enhances his ability to handle sensitive data responsibly while ensuring the integrity and security of analytical workflows. Overall, Jun Yang Peh’s internship exemplifies his commitment to applying advanced data analytics techniques to solve real-world business problems, making him a promising professional in the fields of data analysis and digital transformation within the technology industry.