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Fuku

Senior BI Analyst

  • Seen live on Fuku's site today
  • Senior
Pay
Not stated
Location
Singapore, Singapore, Singapore
Open for
First seen today
First seen
Nov 4, 2026

Posting record

No flags

First seen today

The posting's record, oldest first
  1. Fuku's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age.

Last checked Nov 4, 2026.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

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.

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