Business Intelligence Lead

Job Description

We are looking for a highly analytical and business-savvy Senior BI/BI Lead to join our global business intelligence & strategy team. The ideal candidate is a master of data manipulation who can translate complex datasets into clear, actionable business strategies. You will be responsible for detecting business abnormalities, performing deep-dive root cause analysis, and delivering high-level summaries that guide our internal leaders and global clients.

Key Responsibilities:

• Business Intelligence & Analysis: Deep-dive into customer behavior, business performance, and operational metrics to identify growth opportunities and potential risks.
• Root Cause Investigation: Proactively identify data abnormalities (e.g., performance dips, operational shifts) and perform comprehensive root cause analysis to provide clarity to stakeholders.
• Technical Execution: Develop and optimize automated data pipelines and dashboards using SQL and Python to ensure high-quality, real-time reporting.
• Synthesis & Communication: Translate complex technical findings into concise executive summaries and natural language insights for non-technical business leaders.
• Strategic Collaboration: Act as a bridge between data engineering and business units to ensure analytical solutions are perfectly aligned with real-world business needs.

Qualifications:

• Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Data Science, or Finance).
• Expert SQL: Proven ability to query large, complex databases and optimize performance.
• Proficient Python: Strong coding skills for data manipulation (Pandas, NumPy) and automated analysis.
• 8 + years of experience in data analysis, specifically in identifying business trends and solving real-world problems.
• Exceptional ability to "tell a story" with data, moving beyond the "what" to explain the "why" and "so what" in clear business terms.
• Fluency in English and Mandarin to effectively partner with our diverse global teams and stakeholders.
• Direct experience in Fintech is highly desirable, with familiarity in financial data structures.