Business Intelligence Lead

About Hytech

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.