Jianyong Tu

Responsible for Central FP&A’s data infrastructure and governance, bridging Finance, IT, and vendors to deliver stable systems.

In a team that serves as a centralised business intelligence and analysis hub for the delivery of standardised reports, dashboards, commentaries and analysis. Responsible in providing business intelligence and analytical support to APAC call centre operation. Data Proficiency: I specialize in extracting insights from large datasets using MySQL and Power BI, focusing on data trends to support informed decision-making. Using advanced techniques in SQL and Power BI, I structure data to enhance performance and ensure reliable, accurate insights. Data Modeling: BI Solutions: I build and maintain real-time, visually compelling reports and dashboards in Power BI, collaborating with project managers, architects, and data engineers to deliver solutions that meet business needs. Data Storytelling: Skilled data storyteller with a proven ability to translate complex data into compelling narratives, leveraging data visualization tools to effectively communicate insights and discover opportunities for improvements. Industry Experience: Good domain knowledge on call centre operations, churn retention and subscribers lifecycle management Collaboration & Improvement: I collaborate with cross-functional teams to enhance systems and implement data-driven improvements, aligning solutions with business objectives. I partnered with local teams on complex projects to turn data into insights, predictions and actionable recommendations in order to deliver value for stakeholders in their business challenges such as improving NPS, better productivity and reducing overhead.

I was responsible for Data management, ETL, analytics and dashboards development for APAC Data Centre Maintenance contracts sales team.

Supported Digital Banking to digitalize Bank’s operations. Part of project team to manage cognitive analytics project for Private Wealth Management. Managed vendor and functional teams in setting deliverables, communicate requirement and deadline, managed issues and risks, and progress monitoring.

Part of project team to deliver cognitive analytics capabilities to Private Wealth Management. Translated business requirements and unstructured business issues into data analytic solution. Worked with data scientists to identify data needs, sources, and structure to support project objectives.