Officer - Network Planning And Analytics

MAIN OBJECTIVE OF ROLE

To support analytical and business intelligence capability, developing dashboards and predictive models that identify and apply data-driven solutions to solve and optimise network planning and scheduling problems.

Key Responsibilities

• Designs and deploys intuitive dashboards that transform complex data into clear visuals and actionable narratives, supporting decision-making and business objectives within the context of network planning and scheduling.
• Conducts evaluations and impact analyses of network changes, such as capacity deployment, aircraft swaps, or new routes by leveraging predictive analytics.
• Supporting analytics and business intelligence within the department and helping meet the needs of the Network Planning and Scheduling team.
• Assists in delivering analytical components for special projects requiring unique BI and machine learning expertise, such as new hub analysis, joint ventures, airline start-ups, etc.
• Develop and maintain data sources and data flows in Tableau and other analytical tools, ensuring data accuracy, validity, and integrity.
• Apply machine learning algorithms and build data models to analyze time series data for forecasting, anomaly detection, and trend analysis, enhancing network performance insights.
• Assists with the analytics contributions and technical production of the annual Budget Operating Plan exercise.
• Design and build blended analytical models combining multiple data sources to generate creative insights aligned with strategic goals, key performance indicators, and progress metrics.
• Assists in risk assessment activities and in ensuring that the compliance measures are in place for the department via the company-specific Information Security Regulations (ISR) protocols.
  
  

• Bachelors Degree (3+ years)
• Degree to be in Operations Research or any STEM (Science, Technology, Engineering & Mathematics) vertical
• Fluent in English
• Experience in Airline network planning or operations preferred, but not essential
• Experience as a Data Scientist/Analyst using environments such as Python or R Tableau, Power BI or MicroStrategy
• Years with qualifications: 3 - 5 years
• Certification in Data Analytics, SQL, Tableau, PowerBI or MicroStrategy preferred
  
  

• Customer Focus
• Teamwork
• Effective Communication
• Personal Accountability & Commitment to achieve
• Resilience & Flexibility (Can do attitude)