- Fuku
- Singapore,
- Full-Time
- <72 Hours
Senior BI Analyst.
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Senior BI Analyst: our view in 3 lines...
- The Role:This role analyses business data to uncover trends, performance shifts and risks, and turns those findings into clear insights for business leaders.
- The Person:The person will conduct deep-dive analysis of customer behavior and operational metrics, investigate data abnormalities through root cause analysis, build automated dashboards and pipelines, and present summaries to business leaders.
- Requirements:The ideal candidate has Expert SQL skills, proficient Python with Pandas and NumPy, and Minimum of 5 years of data analysis experience, and direct Fintech experience is highly desirable.
About the role
About Hytech
Hytech is a leading management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. The firm provides comprehensive consulting solutions, as well as middle- and back-office support, to empower 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 seeking a highly analytical and business-savvy Senior BI Analyst to join our global business intelligence & strategy team. The ideal candidate excels at data manipulation and can translate complex datasets into clear, actionable business strategies. This role is 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: Conduct deep-dive analysis into customer behavior, business performance, and operational metrics to identify growth opportunities and potential risks.
- Root Cause Investigation: Proactively identify data abnormalities (such as performance dips and 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: Serve 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: Minimum of 5 years’ 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.