Senior Data, AI & Analytics Strategist

DKSH Management Ltd.; Malaysia; On-site; MYR 100,000 - 170,000; Full time

Job summary

DKSH Management Ltd. is seeking a Senior Business Analyst - Data, AI & Analytics to bridge business needs with technology delivery across the APAC region.

You will translate complex data, analytics and Gen AI requirements into scalable solutions, partnering with stakeholders and cross-functional teams. Responsibilities include defining data sources, integration, semantic models, and KPI frameworks, plus mentoring junior analysts and ensuring high-quality documentation and delivery across data

Qualifications

• Bachelor's degree in IT/CS or related discipline with 5–10 years of experience in business analysis or data delivery.
• Certification in Business Analysis, Agile/Scrum or AI-related fields is advantageous.
• Experience delivering data platforms and BI/reporting solutions, including Gen AI initiatives.

Responsibilities

• Lead end-to-end business analysis for data, analytics, and Gen AI initiatives.
• Define scope with stakeholders and map current processes for delivery alignment.
• Create BRDs, functional specs, user stories and acceptance criteria.
• Shape data sources, integration, semantic models and dashboards in Power BI.
• Prioritize backlog, coordinate UAT, and manage release readiness.
• Collaborate with data engineers, architects, product owners and vendors.
• Mentor junior analysts and promote best practices in documentation.

Skills

Data analytics

Gen AI

Stakeholder management

Agile/Scrum

Backlog management

UAT coordination

Documentation

Education

Bachelor's degree in IT/CS

Tools

Azure

Power BI

Job description

DKSH Management Ltd. is seeking a Senior Business Analyst - Data, AI & Analytics to bridge business needs with technology delivery across the APAC region.

You will translate complex data, analytics and Gen AI requirements into scalable solutions, partnering with stakeholders and cross-functional teams. Responsibilities include defining data sources, integration, semantic models, and KPI frameworks, plus mentoring junior analysts and ensuring high-quality documentation and delivery across data