Data Science Intern - Subang Jaya, Malaysia, Selangor - Credit Bureau Malaysia

    Credit Bureau Malaysia
    Credit Bureau Malaysia Subang Jaya, Malaysia, Selangor

    2 weeks ago

    Default job background
    Full time
    Description

    Company Description

    Credit Bureau Malaysia Sdn Bhd (CBM), is an established credit reporting agency jointly owned by Sunway Holdings Berhad and Credit Guarantee Corporation Berhad. We are currently undergoing rapid expansion with the objective of fostering financial literacy and credit positiveness among the Rakyats and the SMEs.

    Location

    Menara Sunway

    Job Description

    We are seeking a highly motivated Data Analyst Intern to join our team. The ideal candidate should possess strong skills in Python and SQL. Proficiency in financial and banking concepts is highly desirable.

    Responsibilities

    • Assist in collecting, cleaning, and analyzing datasets using Python and SQL.
    • Analyze data to identify trends, patterns, and correlation, using statistical and data visualization techniques.
    • Collaborate with team members and cross-functional teams to understand data requirements, develop and implement data pipelines.
    • Support the creation and maintainence of databases and data warehouses.
    • Prepare reports, dashboards and presentations to communicate findings and recommendations to stakeholders.
    • Participate in testing and debugging data-related processes and applications to support ad-hoc analysis and special projects.
    • Document workflows, procedures, and best practices.

    Qualifications

    • Currenly pursuing a Bachelor's in Data Science, Statistics, Computer Science, Mathematics or a related field.
    • Proficiency in Python and SQL.
    • Familiarity with Docker, Airflow, and Git is a plus.
    • Strong analytical skills with the ability to interpret and draw insights from data.
    • Ability to work both independently and collaboratively in a team environment.
    • Excellent communication and interpretation skills, with the ability to explain complex concepts to non-technical stakeholders.
    • Detail-oriented with a commitment to accuracy and data integrity.
    • Proactive and self-motivated with willingness to learn and adapt in a fast-paced environment.