Design and implement data models and schemas tailored for financial reporting, analysis, and decision‑making.
Develop, maintain, and optimize ETL pipelines to integrate data from source systems (e.g. ERP, GL, CRM) into centralized data platforms.
Drive project execution by tracking progress, providing regular updates, and working closely with cross‑functional teams to ensure timely delivery.
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Assist different departments in identifying data needs, providing data support and analytical recommendations to help optimize operations and decision-making.
Utilize data mining and modeling techniques to uncover potential trends and patterns, offering forward-looking insights to inform company strategy.
Participate in various company projects, providing data analysis support, and maintaining effective communication and collaboration with team members to ensure project success.
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Analyse data with Excel / any other relevant statistical or analytical tools to identify patterns and insights for performance and process improvement.
Present data and reports in suitable templates / dashboards / scorecards and metrics
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Reporting: Help prepare monthly reports and presentations on data trends and insights for leadership.
Documentation: Monitor reporting consistency and write clear guides, manuals, and technical documentation.
Currently pursuing or recently completed a Diploma or Degree in Information Technology, Computer Science, Data Science, or a related quantitative discipline.
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Gather, analyse, and document business requirements, functional requirements, business rules, user journeys, workflows, and system interactions.
Translate business needs into clear and structured documentation such as Business Requirement Documents, Functional Specification Documents, user stories, use cases, process flows, and requirement traceability matrices.
Assess current state and future state processes to identify gaps, improvement opportunities, risks, and solution requirements.
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