Data Landscape Assessment & Gap Analysis
- Together with relevant teams, from an air cargo business perspective analyze current air cargo data sources (e.g., tonnage, rates, capacity, routes) and identify missing or incomplete data points.
- Proactively detect data gaps that hinder understanding of market dynamics or regulatory impacts.
Data Campaign Structuring
- Design and propose data acquisition campaigns to fill identified gaps, including sourcing strategies, validation methods, and timelines.
- Evaluate potential external data providers or partnerships to enrich IATA’s data ecosystem.
Stakeholder Engagement & Requirements Gathering
- Collaborate with internal teams (e.g., business development, operations, finance, data engineering) to understand their data needs.
- Translate business questions into specific data requirements and sourcing strategies.
- Present findings and proposals to stakeholders, articulating the value of new data.
Insight Generation & Visualization
- Collect, clean, and analyze structured and unstructured data using modern analytics tools.
- Build models, dashboards, wireframes or mock-ups to visualize trends and explain the impact of key market factors (e.g., regulatory changes, trade disruptions).
- Prepare clear, concise reports and presentations with data-driven recommendations.
Continuous Learning & Contribution
- Stay informed on trends in air cargo, data strategy, and global trade.
- Actively contribute to team discussions and ongoing digital cargo initiatives.