Business Analyst (Data Analytics & Risk)

Base Camp Recruitment Pte Ltd; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

Base Camp Recruitment Pte Ltd seeks a Business Analyst in Kuala Lumpur to translate business needs into effective data-driven solutions. You will work with stakeholders, technology teams, and data specialists to improve data quality and support risk and cybersecurity initiatives.

You will gather requirements, conduct analysis, map processes, and develop test scenarios while coordinating governance forums and supporting change management. AI-enabled data insights are encouraged.

Qualifications

• Bachelor's degree in a related discipline.
• Experience as a Business Analyst or Data Analyst.
• Strong SQL skills and data warehouse experience.
• Experience with BRD documentation and requirements gathering.
• Experience in process mapping, governance coordination, and stakeholder management.

Responsibilities

• Gather, analyse, and document business requirements (BRDs, functional specs, RTMs).
• Perform root cause and gap analysis, AS-IS/TO-BE mapping.
• Execute SQL queries, data extraction, validation and reconciliation.
• Support data quality, visualization, and development of standard analytics tools.

Skills

SQL

Data Analysis

Stakeholder Mgmt

BRD Documentation

Requirements Gathering

Governance Coordination

SIT/UAT

Education

BSc in Business Analytics / Information Systems / CS / Finance

Tools

Databricks

Tableau

Power BI

Job description

Location: Kuala Lumpur, Malaysia
Contract Duration: 6 months (Highly Renewable)
No Visa Sponsorship

We are seeking a Business Analyst with strong SQL, data analytics, and business requirements gathering experience to support data-driven initiatives on behalf of our client. The successful candidate will work closely with business stakeholders, technology teams, and data specialists to translate business needs into effective solutions, improve data quality, and support risk and cybersecurity-related initiatives.

Key Responsibilities

• Gather, analyse, and document business requirements, including BRDs, functional specifications, and requirements traceability matrices.

• Conduct root cause analysis, gap analysis, and AS-IS/TO-BE process mapping to identify business and operational improvements.

• Perform SQL queries, data extraction, validation, reconciliation, and analysis across large-scale data platforms and data warehouses.

• Support data management, data quality, data visualisation, and the development of standard analytical tools and reports.

• Collaborate with business, technology, and delivery teams to ensure solutions meet requirements and quality standards.

• Develop test scenarios, acceptance criteria, and support SIT, UAT, and implementation activities.

• Coordinate governance forums, prepare presentations, track action items, and support risk and cybersecurity-related initiatives.

• Support change management, remediation programmes, and the transition of project deliverables into BAU.

• Explore the application of Generative AI, LLMs, and Agentic AI to improve data analysis and generate business insights.

Requirements

• Bachelor's degree in Business Analytics, Information Systems, Computer Science, Finance, or a related discipline.

• Relevant experience as a Business Analyst, Data Analyst, or in a similar analytical role.

• Strong SQL skills and experience working with large datasets and data warehouses.

• Proven experience in requirements gathering, BRD documentation, data analysis, and data quality management.

• Experience in process mapping, stakeholder management, and governance coordination.

• Good communication, presentation, analytical, and problem-solving skills.

• Basic knowledge of Generative AI, LLMs, Agentic AI, cybersecurity, fraud, and financial concepts.

• Ability to work under pressure, manage competing priorities, and deliver quality outputs.

Preferred Skills

• Experience with Databricks or similar data platforms.

• Exposure to risk management, cybersecurity, fraud, or financial crime.

• Experience with Tableau, MicroStrategy, Power BI, or similar data visualisation tools.

• Practical exposure to AI-assisted data analysis, automation, or digitisation initiatives.