Business Intelligence Lead

Duotech Pte. Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Duotech Pte. Ltd. is seeking a highly analytical Senior BI Lead to join our global BI & strategy team. You will translate complex data into actionable business insights and drive executive-level decision making.

The ideal candidate has 8+ years in data analysis, expert SQL, Python, and fintech experience, with fluency in English and Mandarin to collaborate with global teams.

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 business terms.

Responsibilities

• Deep-dive into customer behavior, business performance, and operational metrics to identify growth opportunities and potential risks.
• Proactively identify data abnormalities and perform comprehensive root cause analysis to provide clarity to stakeholders.
• Develop and optimize automated data pipelines and dashboards using SQL and Python to ensure high-quality, real-time reporting.
• Translate complex technical findings into concise executive summaries and natural language insights for non-technical business leaders.
• Act as a bridge between data engineering and business units to ensure analytical solutions are aligned with real-world business needs.

Skills

SQL

Python

Data storytelling

Root cause analysis

English

Mandarin

Education

Bachelor's or Master's in quantitative field

Job description

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.