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.
- Bachelor's 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)
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