Deposit Resume

Qualifications & Requirements:

1. 1. 1. Possess at least a Degree / Master’s in Computer Science / Data Science / Data Analytics, or a related field
      2. At least 2 – 3 years of working experience as a Data Analyst, Data Engineer, Data Scientist, or in a similar role
      3. Familiar with ETL processes and proficient in programming languages for data analysis, such as Python, SQL, or R
      4. Knowledge of Power BI would be an added advantage
      5. Certification as a R / Python programmer for data science would also be an added advantage
      6. Strong analytical skills for generating insights and solving problem
      7. Ability to work efficiently in a team, required minimal supervision and demonstrating a structured way of working
      8. Able to liaise with respective Head of Departments to communicate analysis results and provide valuable business insights

Responsibilities:

1. 1. 1. Collaborate on a greenfield ‘Data Transformation’ project, covering new initiatives and system improvements for various business sectors within the Company
      2. Engage in the full development lifecycle of data-related implementations, including user engagement, analysis, design, co-development with IT, testing, and creating data connections for loading into the data warehouse
      3. Support post-implementation activities, including maintaining and updating ETL processes and visualizing information
      4. Stay updated with emerging technologies and adopt new tools as applicable