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Data Analyst (Real Time), Enterprise Information Management

Hlb
📍 PJC-PJ City | Group Technology 📅 Posted May 5, 2026
Apply on Hlb’s website →

About this role

If you are looking to excel and make a difference, take a closer look at us…

Overview:

The Data Analyst supports the Bank's growing real-time data capability and needs. Focus on enabling near-real-time insights across customer, account, and transactions data to support business decision-making.

You will work closely with both Data Engineering and Business teams to translate the data into meaningful insights and ensure data is accurate, timely and fit for use.

Responsibilities:

Real-Time Analytics & Insight Delivery

• Design and deliver near real-time analytical use cases (e.g. customer behavior, transaction monitoring, operational alerts)

• Translate streaming data into business-ready metrics, KPIs, and dashboards · Drive time-sensitive insights to support decision-making (fraud, campaigns, risk signals, etc.)

Data Understanding & Modelling

• Define and maintain data models for real-time marts (customer, account, transaction)

• Ensure data is: Business-aligned o Consistent with EDW definitions (avoid conflicting metrics)

• Work closely with engineering teams to shape schema design for analytics usability

Data Quality & Governance (Real-Time Context)

• Define data quality rules and validation logic for streaming data

• Monitor data anomalies and trigger root cause analysis (RCA)

• Ensure alignment with enterprise data governance standards, adapted for real-time constraints

Use Case Development & Business Engagement

• Partner with business stakeholders to:

• Identify high-value real-time use cases

• Translate requirements into analytical logic

• Drive quick wins to demonstrate value of real-time data (important in early-stage maturity)

Collaboration with Engineering & Platform Teams

• Work closely with:

• Real-time data engineers (Flink / Kafka / pipelines)

• Data platform teams (ClickHouse / HUDI / Hive)

• Ensure: Data is fit for consumption, and Latency vs accuracy trade-offs are clearly defined

Performance & Optimization

• Optimize queries and analytical logic for low-latency environments · Ensure efficient usage of ClickHouse or equivalent real-time analytical engines

Standardisation & Reusability

• Define reusable:

• Metrics definitions

• Analytical patterns

• Data contracts for real-time consumption

• Prevent fragmented logic across teams

Leadership & Mentorship

• Act as subject matter expert (SME) for real-time analytics

• Guide junior analysts on:

• Real-time thinking (event-driven vs batch mindset)

• Data interpretation and storytelling

Key Deliverables

• Real-time dashboards and analytical outputs

• Data mart definitions (customer/account/transaction)

• Data quality rules and monitoring framework

• Documented business metrics and logic

• Use case backlog and delivery roadmap

Skills & Experience We Are Looking For:

• Experience · 1 - 2 years in data analytics / data domain

• Strong experience in:

• Banking / financial services (preferred)

• Data warehouse (EDW) and transition to real-time

• Exposure to streaming or near real-time environments is a strong advantage Technical Skills

• Strong SQL (mandatory)

• Experience with:

• Analytical databases (e.g. ClickHouse, BigQuery, Snowflake)

• Data modelling (dimensional / hybrid models)

​Familiarity with:

• Streaming concepts (Kafka, Flink, CDC)

• Data lake technologies (Hive, Hudi)

• Analytical & Business Skills Strong ability to:

• Translate business questions into data logic

• Interpret complex datasets into clear insights

Experience in:

• Dashboarding

• Data storytelling

Soft Skills (Critical for This Role)

• Able to operate in ambiguity and evolving environments

• Strong stakeholder management: Business, IT, Vendors

• Confident to challenge unclear requirements and/or misaligned metrics

For more job opportunities, please go to HLB Careers: https://hlb.wd3.myworkdayjobs.com/HLBCareers/

We appreciate your application and will be in touch with shortlisted candidates regarding next steps.

About Hong Leong Bank

We are a leading financial institution in Malaysia backed by a century of entrepreneurial heritage. Providing comprehensive financial services guided by a Digital-at-the-Core ethos has earned us industry recognition and accolades for our innovative approach in making banking simpler and more effortless for our customers. Our digital and physical offerings span across a vast nationwide network in Malaysia, strengthened with an expanding regional presence in Singapore, Hong Kong, Vietnam, Cambodia, and China.

We seek to strike a balance between diversity, inclusion and merit to achieve our mission of infusing diversity in thinking and skillsets into our organisation. Candidates are assessed based on merit and potential, in line with our mission to attract and recruit the best talent available. Expanding on our “Digital at the Core” ethos, we are progressively digitising the employee journey and experience to provide a strong foundation for our people to drive life-long learning, achieve their career aspirations and grow talent from within our organisation.

Realise your full potential at Hong Leong Bank by applying now.

This listing was aggregated by Perik.ai from Hlb’s public job board. Click the button above to view the full job description and apply directly.
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