Business Intelligence Lead

HyTech; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Hytech seeks a highly analytical Data Analyst to join its global BI & strategy team. You will translate complex datasets into clear business insights, detect abnormalities, perform deep-dive root cause analysis, and deliver executive-ready summaries to leadership and clients.

The role emphasizes data manipulation mastery, real-time reporting, and collaboration with data engineering and business units to ensure analytics align with real-world needs.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• Expert SQL: ability to query large databases and optimize performance.
• Proficient Python: Pandas, NumPy for data manipulation.
• 3+ years of data analysis experience identifying trends and issues.
• Strong storytelling and ability to explain insights to non-technical stakeholders.
• Fluency in English and Mandarin to partner with global teams.

Responsibilities

• Deep-dive BI & analytics to identify growth opportunities and risks.
• Investigate data abnormalities and perform root cause analysis.
• Build and optimize automated data pipelines and dashboards using SQL and Python.
• Translate findings into concise executive summaries and actionable insights.
• Collaborate with data engineering and business units to align analytics with needs.

Job description

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting edge strategies.

With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, Dubai and more.

Job Description

We are looking for a highly analytical and business-savvy Data Analyst 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: 3+ 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 (Crypto, Trading, or Banking) is highly desirable, with familiarity in financial data structures.