KEY RESPONSIBILITIES

• Develop a comprehensive understanding of the organization’s data landscape and identify key data sources across departments.

• Design and implement frameworks for data collection, governance, and analytics that align with organizational objectives.

• Create and present visual data stories, dashboards, and insights to inform leadership decisions and highlight impact.

• Partner with teams across projects, research, and communications to translate complex data into accessible narratives.

• Collaborate with the Senior Manager, Technology, to explore and pilot AI tools that support productivity, analysis, and innovation.

• Support strategic planning by providing evidence-based insights, reports, and recommendations.

• Build organizational capability in data literacy through knowledge sharing and internal training sessions.

Collect, clean, and organize data from multiple internal and external sources (project databases, archives, reports, media libraries, etc.).

• Maintain structured data repositories and ensure consistent data standards across teams

Design and maintain dashboards and visual reports using tools such as Power BI, Tableau, or Google Data Studio.

• Track project metrics, performance indicators, and outputs to support monitoring and evaluation.

• Support the preparation of periodic reports, infographics, and presentations for internal and external stakeholders.

• Conduct routine data quality checks and troubleshoot discrepancies.

• Assist with data-driven automation and process improvement initiatives.

• Research emerging technologies and recommend relevant AI or analytical tools for adoption.

• Ensure all data handling aligns with privacy, ethics, and organizational governance standards