Data Analytics Professional

6 days ago


Kuala Lumpur, Kuala Lumpur, Malaysia Bank Islam Malaysia Berhad Full time

About the Role

The Bank Islam Malaysia Berhad is seeking a highly skilled Data Analytics Professional to join our team. As a key member of our analytics group, you will be responsible for designing and implementing robust ETL processes to extract, transform, and load data from diverse sources. You will also create advanced data visualizations that provide actionable insights, empowering data-driven decision-making across the organization.

You will lead the development and implementation of sophisticated statistical models, including decision trees, regression analysis, and other predictive techniques to support business strategies. Additionally, you will leverage cutting-edge data science methodologies to analyze complex datasets and generate impactful insights that drive business transformation.

This role requires strong expertise in Python programming, as well as experience with libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow. You should have a solid understanding of ETL processes and data visualization tools (e.g., Tableau, Power BI). Experience with machine learning, NLP, and LLM techniques is also essential.

Key Responsibilities

  • Design and implement robust ETL processes to extract, transform, and load data from diverse sources.
  • Create advanced data visualizations that provide actionable insights, empowering data-driven decision-making.
  • Lead the development and implementation of sophisticated statistical models to support business strategies.
  • Leverage cutting-edge data science methodologies to analyze complex datasets and generate impactful insights.
  • Develop and maintain scalable web applications using Flask/Django frameworks.
  • Deploy machine learning models to address key business challenges and optimize processes.
  • Apply NLP techniques to extract and interpret valuable insights from text data.
  • Prioritize tasks, manage multiple projects simultaneously, and meet deadlines.
  • Maintain comprehensive documentation of code, application logic, and system architecture.
  • Provide ongoing technical support to application users.


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