Pei Chun Huang

Hi, I’m Pei Chun. I am an experienced data and operations professional, currently pursuing my Master of Science in Business Analytics at the University of Washington's Foster School of Business.

Throughout my career at companies like Appier, Onramplab, and DBS Bank, I have specialized in transforming raw, complex data into actionable business strategies and building '0-to-1' automated reporting workflows. My core strength lies in leveraging advanced SQL, Python, and data visualization tools to drive efficiency—such as reducing report prep time by 20% and minimizing manual processing errors by a quarter for premium cross-border clients.

I thrive in cross-functional, multicultural environments where I can bridge the gap between technical data engineering and strategic business decisions. I’m looking to leverage my analytics expertise and passion for operational problem-solving in a Data, Business, or Product Analyst role.

Financial Planning & Analytics Operations Analyst at DBS Bank (2025-11 – 2026-06)

• Spearheaded the 0-1 development of an automated compliance monitoring tool for block leave policies to meet strict internal audit regulations; eliminated manual tracking risks by establishing an early-warning framework.
• Re-engineered a cross-functional performance scorecard system by designing a standardized data schema in Excel; reduced reporting cycle time and automated heterogeneous data consolidation across departments.
• Analyzed dynamic headcount (FTE) and overtime (OT) metrics to identify operational bottlenecks; delivered quantitative insights to senior management that successfully optimized budget allocation and resource.
• Aligned cross-functional stakeholders on complex operational needs, including call-recording compliance and fixed assets integration; translated requirements into actionable project plans to ensure on-time execution.

Junior Data Analyst at Onramplab (2025-06 – 2025-10)

• Reduced SMS campaign error rates by 25% by engineering a Retool reporting system using Elasticsearch, SQL, and JavaScript; accelerated anomaly detection efficiency and delivered actionable insights for campaign optimization.
• Collaborated with Sales and Operations to analyze monthly performance reports for 70+ active campaigns; translated complex data into Excel-based visual insights that optimized campaign strategy and enhanced client retention.
• Designed an early-alert anomaly detection workflow to mitigate operational risks; decreased potential system downtime and accelerated stakeholder response times to technical issues.

Account Operations Intern at Appier(2024-05 – 2025-06)

• Reduced report preparation time by 20% and ensured cross-functional data consistency by developing automated dynamic data visualizations in Excel to replace manual reporting workflows.
• Delivered actionable business insights for premium clients (Taobao, PChome, Chunghwa Telecom, foodpanda) by streamlining monthly data consolidation and performance reporting workflows (Action); analyzed key advertising metrics (Impressions, Clicks, CTR) via Excel and PowerPoint.
• Minimized manual entry errors by 25% and boosted operational efficiency by collaborating with cross-regional teams; integrated ad creatives across Korea and the Greater China region into Jira and iDash systems.
• Maximized ROI and ensured KPI alignment for key accounts like Global Mall by managing weekly performance audits and client communications; translated complex data into actionable optimization strategies and strict timelines.

Master of Science in Business Analytics – University of Washington (2026-06)

Bachelor in International Business – Shih Chien University (2018-09 – 2023-06)