Data Analytics (RHB)

eTeam; Kuala Lumpur; On-site; MYR 75,000 - 90,000; Full time

Job summary

A leading analytics firm in Kuala Lumpur is seeking a candidate experienced in SAS or Python programming for developing advanced analytics models. The ideal candidate will possess SQL expertise, have a strong foundation in supervised and unsupervised learning techniques, and be capable of working with both structured and unstructured data. Prior experience in banking campaign management will be an advantage. This role promises a dynamic work environment with opportunities for professional growth.

Qualifications

• 3-6 years of hands-on experience in developing analytics models.
• Good knowledge of advanced analytics techniques.
• Ability to write and execute complex SQL queries.

Responsibilities

• Develop and implement analytics models for various use cases.
• Visualize findings using Tableau and other tools.
• Work with unstructured data for analytics.

Skills

SAS programming

Python programming

SQL complexity

Tableau

Supervised Learning

Unsupervised Learning

Big Data Analytics

Job description

SAS or Python Programming

• SAS or Python programming experience with good knowledge advanced analytics model development.

Database and SQL

• Candidate must be able to write and execute complex queries in SQL.
• Good working knowledge in using the visualization tools to present findings. Tableau > Python > SAS.
• 3-6 years of hands‑on experience in developing Supervised Learning and Unsupervised Learning analytics models for CRM or Fraud or Productivity gain use cases.
• Good knowledge of advanced analytics technique applied for model development on use cases.

Campaign Management (Optional)

• Basic knowledge of campaign management such as segmentation, exclusion, contact history, response tracking, and leads optimizing.
• Campaign management experience in Banking will be added advantage.

Big Data Analytics

• Experience in using big data analytics techniques for model development; e.g. graph & spatial, ELK stack, text mining, etc. It is good that candidate able to work with unstructured data.