Deposit Resume

Qualifications & Requirements:

1. 1. 1. Possess a Degree/ Master’s in Computer Science/ Data Science/ Software Engineering, or a related field
      2. Minimum 2-3 years of working experience in Data Analytics/Data Engineering/ Data Science, or a similar role
      3. Hands-on experience with ETL processes and proficiency in programming languages for data analysis such as Python, SQL, or R
      4. Knowledge and experience in Power BI or other data visualization tools would be an added advantage
      5. Certification in Python/R programming or Data Science-related certification would be an added advantage
      6. Strong analytical and problem-solving skills with the ability to generate meaningful business insights
      7. Ability to work effectively in a team, with minimal supervision and demonstrate a structured approach to work
      8. Strong communication skills with the ability to liaise with Heads of Departments and stakeholders to present analysis results and business insights

Responsibilities:

1. 1. 1. Collaborate in the Company’s Data Transformation initiatives, including new data-driven projects and system improvement initiatives across various business sectors
      2. Participate in the full lifecycle of data-related implementations, including user engagement, requirements gathering, data analysis, solution design, collaboration with IT teams, testing, and development of data connections for loading data into the data warehouse
      3. Support post-implementation activities, including maintaining and enhancing ETL processes, data pipelines, and data visualization dashboards
      4. Develop and maintain data reports and dashboards to support business decision-making
      5. Stay updated on emerging data technologies, tools, and industry best practices, and recommend suitable solutions where applicable