Business Intelligence Lead
First seen by Alion on Oct 27, 2026.
Job Description
We are looking for a highly analytical and business-savvy 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:
Educational Background: Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Data Science, or Finance).
Technical Mastery: * 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.
Business Analysis Experience: 5+ years of experience in data analysis, specifically in identifying business trends and solving real-world problems.
Synthesizing Ability: Exceptional ability to "tell a story" with data, moving beyond the "what" to explain the "why" and "so what" in clear business terms.
Communication: Fluency in English and Mandarin to effectively partner with our diverse global teams and stakeholders.
Industry Context: Direct experience in Fintech is highly desirable, with familiarity in financial data structures.
Skills
Business Data Analysis, Database Optimization, Data Storytelling, Pandas, Data Analysis, Business Insights, Leading Diverse Teams, NumPy, Data Pipeline, business-unit turnarounds, Quantitative Analysis, Root Cause Analysis, Operational Metrics, Strategic Partnership, Financial Technology, Programming