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Liberty General Insurance Berhad

Associate - Analyst Development Program

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Job Description

The Analytics Development Program (ADP) at Liberty is a 12-month development program designed to develop new analysts into skilled professionals equipped to handle complex data analytics tasks.

What you will be doing:

  • Actively participate in structured training sessions covering various topics in analytics, including machine learning, data engineering, and business acumen.
  • Apply innovative analytical techniques to improve existing processes and contribute to new initiatives.
  • Identify opportunities for efficiency improvements and automation in data handling and analysis.
  • Collaborate with team members to understand business needs and provide data-driven solutions.
  • Work on cross-functional project teams to support various business units (e.g., underwriting, claims, marketing).
  • Collect, clean, and analyze data from various sources to identify trends, patterns, and insights.
  • Use statistical techniques and software tools (such as R, Python, SQL, and Excel) to perform data analysis and predictive modeling.
  • Develop and maintain dashboards and reports using tools like Tableau, Power BI, or similar.
  • Present findings to stakeholders through clear and concise visualizations and reports.
  • Attend workshops, webinars, and seminars to stay updated with the latest industry trends and technologies.

Requirements:

  • Bachelor's Degree in Data Analytics, Economics, Actuarial, Computer Science, Finance, MIS, Mathematics, Statistics or related field
  • Minimum of 3.0 cumulative GPA
  • 0-1 Years of Professional Working Experience (Fresh Graduates are welcome to apply)
  • Previous internship or work experience in data analysis, statistics, or a related field is preferred but not required.
  • Experience with statistical/technical programs including SAS, R, STATA, SQL and Data
  • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Knowledge of machine learning techniques and algorithms.
  • Familiarity with data warehousing and data mining concepts.

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Job ID: 143129953