Business Intelligence Specialist

ANEXT Bank; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

ANEXT Bank in Singapore is seeking a Senior BI Specialist to turn complex data into trusted insights and scalable reporting capabilities across the bank.

You will own end-to-end analytics, design dashboards, collaborate with product, risk, and finance teams, mentor junior analysts, and help standardize metrics for a single source of truth. Strong SQL and BI skills are required to communicate findings to executives.

Qualifications

• Minimum 8 years in BI/analytics/reporting in banking/fintech environments.
• Ability to own end-to-end analytics without step-by-step direction.
• Expert-level SQL and solid proficiency in mainstream BI/visualization tools.
• Strong stakeholder management and ability to present to senior audiences.
• Mentor junior analysts and elevate team output.

Responsibilities

• Translate business questions into analytical problems and decision-ready deliverables.
• Lead deep-dive analyses across the bank's performance, customer behavior, and channels to surface opportunities and risks.
• Design, build, and maintain dashboards, scorecards, and executive reports; work with Data Warehouse/Data Engineering on semantic models.
• Align metrics across teams to create a single source of truth and enable self-service analytics.

Skills

SQL

BI tools

Data modeling

Stakeholder management

Mentoring

Communication

Tools

SQL

BI tools

Data modeling

Job description

We’re on a mission to make financial services accessible and effortless for SMEs. As one of Singapore’s digital wholesale banks fully regulated by MAS, we’re committed to continuous innovation to bring about simpler, safer and more rewarding financial services. #bringingaboutwhatsnext

About the Role

We are looking for a Senior BI Specialist — a senior individual-contributor role that turns the bank's data into clear, trusted, and actionable insights, and helps build the trusted reporting capability that scales with the bank.

You will deliver deep analytical work on real, open business problems across the bank; you shape how metrics, reports, and dashboards are built; and as the team grows, you play a role in elevating the quality of analytical talent around you.

Job Responsibilities

Analysis & Insight

• Translate stakeholder business questions and operational challenges into structured analytical problems, frameworks, and decision-ready deliverables.
• Lead deep-dive, exploratory analyses across the bank's core business — performance, customer and account behavior, channel funnels, cross-border payment flows — to surface opportunities, risks, and inefficiencies.
• Support management performance discussions through trend interpretation, variance analysis, and structured business review materials.

Reporting & Semantic Layer

• Design, build, and maintain dashboards, scorecards, and executive reports — accurate, intuitive, and easy to consume by definition.
• Work closely with the Data Warehouse / Data Engineering team to help shape the datasets and semantic models underpinning use cases, and contribute to the unification of the bank's metric definitions.
• Enable self-service analytics for stakeholders, growing trust in reporting output across the organization.

Stakeholder Collaboration

• Act as a trusted analytics partner to product, risk, finance, and operations: run efficient discovery, manage expectations, and present results clearly to audiences from analysts to executives.
• Own the alignment and standardization of metrics across teams — reconcile cross-functional definitions, drive consistency toward a single source of truth, and establish clear metric ownership so every function speaks the same language.

Requirements

• Minimum 8 years in BI / analytics / reporting, with a strong background in banking, financial services, or payments — you understand business logic, not just tools.
• Ability to work end-to-end independently: define the problem, analyze the data, build the output, and deliver the narrative — without step-by-step direction.
• Expert-level SQL; solid proficiency in mainstream BI/visualization tools; strong grasp of data modeling and the semantic/metric layer.
• Strong stakeholder management: requirement discovery, expectation alignment, and compelling presentations to senior audiences.
• Maturity to mentor junior analysts and raise the quality of their work.
• Excellent written and verbal communication in English. Mandarin is a plus given our regional business.
• Experience in a digital bank, neobank, or fintech environment; experience building/scaling analytics as the business evolves.
• Experience with enterprise cloud data warehousing; familiarity with Alibaba Cloud DataWorks / MaxCompute as a warehouse and platform layer is a plus.
• Experience operating across regional, multicultural businesses