Job Description

Clean, transform, and validate large datasets from multiple sources. Conduct exploratory analysis to identify trends, patterns, and inconsistencies. Create clear visualizations using dashboards or reporting tools. Use Python (pandas, numpy) to automate reporting and streamline data workflows. Assist in developing scripts and internal tools to support operational efficiencies. Apply basic statistical or machine learning techniques for simple analytical tasks. Explore modern AI technologies (e.g., Generative AI, LLMs) to support internal initiatives. Prepare datasets for advanced modeling under senior guidance. Work closely with analysts, engineers, and business teams to understand data needs. Present findings and insights in clear and easy-to-understand formats.

Job Requirements

Degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related field. Strong proficiency in Python (pandas preferred). Solid understanding of SQL for data extraction and manipulation. Good working knowledge of Excel. Basic understanding of statistics and data interpretation. Strong analytical and problem-solving abilities. Detail-oriented, especially when handling large datasets. Eager to learn and explore new technologies. Good communication and teamwork skills. Familiarity with ML libraries such as scikit-learn is additional advantage. Exposure to LLMs or Generative AI tools is additional advantage. Experience with dashboards (Looker Studio, Tableau, Superset, etc.) is additional advantage. Basic understanding of cloud platforms (AWS, GCP) or Colab notebooks is additional advantage.
Job Type: Full-time

Pay: RM3,400.00 - RM3,600.00 per month

Benefits:

Flexible schedule Health insurance Maternity leave Opportunities for promotion Parental leave Work from home
Application Question(s):

Are you comfortable commuting to our office in Kelana Jaya (near Paradigm Mall, Petaling Jaya) as part of our hybrid work model? How long is your notice period? When is the earliest possible join date? What is your expected salary?
Work Location: In person