Data Analyst (Data and Analytics)

EPF Malaysia

📍Kota Damansara, Selangor, Malaysia
Posted May 21, 2026

Job Overview

Position

Data Analyst (Data and Analytics)

Company

EPF Malaysia

Location

Kota Damansara, Selangor, Malaysia

Work Type

On-site

Job ID

li-4416363662

Job Description

RESPONSIBILITIES

You will support the delivery of data and analytics initiatives across the organisation, including reporting, dashboards, data modeling, and emerging AI/ML use cases. This role involves gathering business requirements, assisting in solution design, and supporting the development of insights that drive data-informed decisions.

You will work closely with senior analysts, BI developers, data engineers, and data scientists to support the organisation’s journey toward becoming a fully insight-driven and analytics-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

  • Assist in gathering, documenting, and refining business requirements for reporting, dashboards, and analytics solutions.

  • Support BI teams in developing user stories, KPI definitions, and dashboard layout specifications.

  • Work with business users to understand operational processes and translate them into basic reporting or data needs.

  • Assist in validating the accuracy and completeness of dashboards, reports, and analytics outputs.

  • Conduct data analysis to identify trends, anomalies, and insights to support decision-making.

  • Support data scientists by helping with requirement documentation, business understanding, and validation of AI/ML outputs.

  • Participate in UAT and ensure delivered analytics solutions meet business expectations.

  • Maintain documentation such as requirement logs, process notes, data dictionaries, and report inventories.

  • Support trainings, demo sessions, and user onboarding activities for BI dashboards and analytics tools.

  • Coordinate with data engineers to communicate business needs related to data sources or data quality issues.

  • Assist in monitoring adoption and usage of BI dashboards and reports and gather feedback for improvement.

  • Ensure all analytics activities comply with data governance, privacy, and organisational standards.

REQUIRED COMPETENCIES

  • Solid understanding of the analytics lifecycle: reporting, dashboards, data modeling, and introduction to AI/ML concepts.

  • Able to translate business needs into structured requirements with guidance.

  • Skilled with BI tools (e.g. Power BI or MicroStrategy) and able to interpret visualisations.

  • Demonstrates foundational data literacy and analytical thinking skills.

  • Good communication and documentation skills, able to interact with stakeholders clearly.

  • Willingness to learn new BI, analytics, and AI technologies and adopt industry best practices.

  • Ability to work collaboratively in a cross-functional environment.

  • Strong attention to detail and commitment to producing accurate outputs.

  • Positive attitude, proactive mindset, and eagerness to contribute to an insight-driven culture.

QUALIFICATIONS

  • Malaysian citizen.

  • Pass Malay Language including an oral test at the Sijil Pelajaran Malaysia (SPM) level.

  • Possess a Bachelor’s Degree in Data Science, Computer Science, Statistics, Information Systems, or equivalent from accredited institutions.

  • Minimum 2–4 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.

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How do you approach translating a business user's operational process into a structured reporting requirement and ultimately a dashboard layout?
  • 2.Can you walk me through how you use SQL to validate the accuracy and completeness of a newly developed dashboard or analytics output?
  • 3.Given your exposure to AI/ML projects, how do you help frame a business problem for a data scientist and validate their model outputs?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you had to gather requirements from a non-technical stakeholder who didn't clearly know what data they needed.
  • 2.Describe a situation where you identified an anomaly or data quality issue during the validation phase of a project. What did you do?
  • 3.Give an example of how you supported data literacy or helped foster a data-driven culture within an organization.
🧩Situational Questions (2)
  • 1.You are supporting a data scientist on an AI/ML project, and the business stakeholders are skeptical about the model's output because it contradicts their long-held industry experience. How do you handle this?
  • 2.A business unit requests a new dashboard with an aggressive deadline, but you realize during requirement gathering that the necessary data sources have significant quality issues. What do you do?

Resume Keywords

Make sure these keywords appear on your resume

Business RequirementsPower BIMicroStrategySQLData ValidationUATAI/MLData GovernanceData LiteracyKPI DefinitionData QualityUser Stories

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