RESPONSIBILITIES
You will be responsible for leading the end-to-end delivery of data and analytics solutions across the organisation, spanning business intelligence (BI), reporting, dashboards, data modeling, and AI/ML use cases. You will analyse complex business problems, translate requirements into technical specifications, and ensure high-quality, scalable analytics solutions that support strategic and operational decision-making.
You will serve as a trusted analytics partner to business units, providing advisory on data-driven improvements, championing best practices, and supporting the organisation's transformation toward a fully insight-driven and AI-enabled enterprise. You will also play a key role in fostering data culture, supporting data literacy, and enabling the organisation's transformation into an insight-driven enterprise.
JOB SCOPE
- Lead requirements gathering for advanced analytics initiatives, including reporting, dashboards, data modeling, and AI/ML use cases.
- Analyse business processes to identify improvement opportunities and propose data-enabled solutions.
- Evaluate and recommend suitable analytics and AI/ML use cases aligned with organisational priorities and feasibility.
- Translate complex business needs into clear functional specifications, user stories, data requirements, and acceptance criteria.
- Partner with BI developers to design enterprise dashboards, KPIs, and decision-support tools that drive measurable outcomes.
- Collaborate with data scientists on predictive modeling and AI/ML initiatives, including business framing, feature requirements, validation, and success metrics.
- Work closely with data engineers to ensure data pipelines, data models, and integration workflows support analytics and AI operations.
- Oversee UAT and validate outputs of reports, dashboards, and models to ensure accuracy, quality, and business alignment.
- Support the operationalisation of AI/ML models into dashboards, workflows, or enterprise systems.
- Develop adoption, training, and change management plans to ensure successful implementation and user uptake of analytics and AI solutions.
- Produce comprehensive documentation including business cases, requirements, data dictionaries, process maps, and impact assessments.
- Ensure that all analytics and AI/ML solutions comply with data governance, cybersecurity, privacy, and responsible AI standards.
- Mentor junior analysts and contribute to building analytics capability across the organisation.
- Stay abreast of trends in BI, analytics, and AI/ML to guide continuous improvement and innovation.
REQUIRED COMPETENCIES
- Strong expertise in end-to-end analytics delivery, covering descriptive, diagnostic, predictive, and AI/ML-based solutions.
- Ability to translate complex data concepts, model outputs, and technical details into clear business insights and recommendations.
- Strong command of BI tools (Power BI, MicroStrategy) and proven ability to design impactful dashboards and KPI frameworks.
- Solid understanding of data modeling concepts, ETL/ELT processes, and data lifecycle management.
- Familiar with AI/ML concepts (e.g., predictive modeling, feature engineering, model evaluation) and able to work closely with data scientists.
- Skilled in leading requirement workshops, stakeholder discussions, and cross-functional analytics projects.
- Strong analytical thinking, structured problem solving, and root-cause analysis capabilities.
- Excellent communication, influencing, and stakeholder management skills across varying seniority levels.
- Demonstrates leadership qualities, with the ability to mentor team members and drive best practices in analytics delivery.
- Commitment to responsible data use, data governance, and ethical application of AI/ML technologies.
QUALIFICATIONS
- Malaysian citizen.
- Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, or equivalent from accredited institutions.
- 710 years of experience in business analysis, BI, data analytics, or related areas.
- Proven experience delivering enterprise dashboards, complex reporting requirements, and analytics solutions.
- Exposure to AI/ML projects, including business problem framing and interpreting model outputs.
- Good understanding of SQL; familiarity with Python or analytics tools is an added advantage.
- Experience working in large enterprise, public sector, or regulated environments is preferred.
JOB STATUS
Permanent
All applications are strictly CONFIDENTIAL and only shortlisted candidates will be called in for interview. Applications are deemed UNSUCCESSFUL if there is no feedback from the EPF 2 MONTHS after the closing date of advertisement.
