The Data Analyst plays a key role in supporting EPF’s transformation into a data-driven organization by delivering actionable insights through advanced analytics, statistical modeling, and data visualization. This role involves working with large datasets, developing dashboards, and contributing to data strategy initiatives that drive business performance and decision-making.
The ideal candidate combines strong technical expertise with business understanding, enabling them to translate complex data into meaningful insights for stakeholders.
Key Responsibilities
1. Data Analytics
- Apply data modeling techniques using tools such as Python, R, SQL, and Power BI
- Analyze large datasets from multiple sources to generate insights
- Identify trends, correlations, and patterns using statistical methods
- Translate analytical findings into actionable business recommendations
- Support short-term (“quick wins”) and long-term data initiatives
2. Data Insights, Visualization & Reporting
- Develop interactive dashboards and reports to monitor KPIs
- Perform forecasting to identify risks and opportunities
- Automate reporting processes and ensure data accuracy
- Provide marketing and customer insights (campaign performance, segmentation, retention strategies)
- Communicate insights through clear data storytelling and visualization
3. Data Strategy
- Support development and execution of data strategies aligned with business goals
- Collaborate with cross-functional teams to improve data usage and processes
- Contribute to data governance, metadata, and data lifecycle management
- Evaluate new tools, technologies, and best practices to enhance analytics capabilities
Required Competencies
- Strong skills in data analysis, modeling, and visualization
- Proficiency in Python, R, SQL, Power BI (or similar tools)
- Understanding of data governance, data quality, BI, and data security principles
- Excellent analytical thinking and problem-solving abilities
- Strong communication and data storytelling skills
- Ability to work independently and collaboratively across teams
Qualifications
- Malaysian citizen
- Pass in Bahasa Melayu (SPM level or equivalent)
- Bachelor’s or Master’s degree in:
- Data Science
- Business Analytics
- Actuarial Science
- Mathematics
- Computer Science / IT
- or related field
- Minimum 6 years of experience in data analysis
FAQs (Frequently Asked Questions)
1. What does this Data Analyst role involve?
It involves analyzing large datasets, building models, creating dashboards, and providing insights to support business decisions.
2. What tools should I know?
You should be comfortable with Python, R, SQL, and visualization tools like Power BI.
