Data Analyst (Dataiku) - KL, Malaysia Based
We are looking for a skilled Data & Analytics Consultant with strong experience in Dataiku, data engineering, and analytics to join our data transformation team. You will be responsible for building and managing data pipelines, developing advanced analytics solutions, and delivering actionable insights for high-impact business decisions. This role is especially suited for candidates with experience working with large data sets and a solid background in financial services or banking.
Key Responsibilities:
- Develop, manage, and optimize ETL pipelines using Dataiku to support analytics and reporting needs.
- Handle large and complex datasets, including data preparation, transformation, cleansing, and enrichment.
- Collaborate with stakeholders to gather requirements and deliver accurate and timely data insights.
- Write complex SQL queries and integrate data from various sources including RDBMS, data lakes, and manual datasets.
- Build machine learning models and apply statistical techniques for predictive analytics and business forecasting.
- Design and maintain intuitive dashboards and visualizations using Tableau to communicate findings effectively.
- Present data-driven reports and outputs using Excel, tailored for stakeholder discussions and validations.
- Understand and take over existing Dataiku workflows with minimal handover, ensuring continuity and optimization.
- Ensure data quality and accuracy throughout all data processing stages.
- Support business teams with ad hoc analytics requests and performance tracking.
Required Qualifications & Skills:
- Must-Have:
- Proven hands-on experience in Dataiku for end-to-end ETL and analytics projects
- Strong skills in SQL, Python, and data manipulation
- Demonstrated experience in working with large-scale data sets
- Expertise in data visualization tools, especially Tableau
- Proficiency in Microsoft Excel, with experience producing stakeholder-ready reports
- Ability to understand and take over existing data processes with minimal onboarding
- Meticulous attention to detail and focus on data accuracy and flow robustness
- Good to Have:
- Exposure to banking processes or financial services data environments
- Familiarity with performance management and KPI frameworks
- Understanding of data governance and compliance requirements
For a confidential discussion, please reach out to me at fiona.wong@sanderson-ikas.sg
Personal data collected will be used for recruitment purposes only.
Only shortlisted candidates will be notified / contacted.
EA Registration No: R21101138
"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: 200914065E with EA license number 16S8086.
Website: www.sanderson-ikas.sg