The International Centre for Aviation Innovation (ICAI) is set up to drive innovation across all aspect of aviation including Air Traffic Management, smart & digital airports, sustainable aviation and unmanned systems. As the first-of-its-kind innovation centre in Asia, the Centre seeks to foster partnerships amongst governments, industry, and research institutes to drive development, deployment, and adoption of aviation technologies.

Lead Data Analyst (International Centre for Aviation Innovation)
Civil Aviation Authority of Singapore
Fixed TermsClosed
What the role is
Introduction to ICAI
The International Centre for Aviation Innovation (ICAI) is set up to drive innovation across all aspect of aviation including Air Traffic Management, smart & digital airports, sustainable aviation and unmanned systems. As the first-of-its-kind innovation centre in Asia, the Centre seeks to foster partnerships amongst governments, industry, and research institutes to drive development, deployment, and adoption of aviation technologies.
The International Centre for Aviation Innovation (ICAI) is set up to drive innovation across all aspect of aviation including Air Traffic Management, smart & digital airports, sustainable aviation and unmanned systems. As the first-of-its-kind innovation centre in Asia, the Centre seeks to foster partnerships amongst governments, industry, and research institutes to drive development, deployment, and adoption of aviation technologies.
What you will be working on
We are looking for a Lead Data Analyst to provide data analytics support to various aviation-related projects on air navigation services, air traffic management services, and airport operations and management.
Job Scope:
a) Responsibilities
• Clean, analyze, and visualize a variety of data to identify opportunities, insights, and anomalies.
• Collaborate with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions.
• Develop automated dynamic reports and dashboards to support business functions.
• Execute Extract, Transform and Load (ETL), data validations, and documentation to support analyses.
• Summarize and clearly communicate data analysis assumptions and results.
• Compile comprehensive and accurate client facing reports on a timely basis.
• Guide stakeholders with confidence in the analytics.
• Partner with stakeholder Data Engineers to identify and scope integrations of new value-add datasets.
• Support day-to-day operations with ad-hoc analysis.
Job Scope:
a) Responsibilities
• Clean, analyze, and visualize a variety of data to identify opportunities, insights, and anomalies.
• Collaborate with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions.
• Develop automated dynamic reports and dashboards to support business functions.
• Execute Extract, Transform and Load (ETL), data validations, and documentation to support analyses.
• Summarize and clearly communicate data analysis assumptions and results.
• Compile comprehensive and accurate client facing reports on a timely basis.
• Guide stakeholders with confidence in the analytics.
• Partner with stakeholder Data Engineers to identify and scope integrations of new value-add datasets.
• Support day-to-day operations with ad-hoc analysis.
What we are looking for
b) Requirements
• Trained in Statistics, Mathematics, Computer Science, or a related quantitative field.
• Experience starting large analytic projects and collaborating with teams across global and functions.
• Experience solving business problems and using mathematical techniques using available data.
• Strong problem-solving skills to help refine problem statements and solve them with available data.
• Possess strong awareness of changes to data privacy requirements and maintenance, responsible and ethical data handling practices, and ensuring classification and governance of rules and regulations are consistently applied in work activities and results.
• Ability to write complex queries and procedures to extract or transform data from various sources. Knowledge in SQL programming preferred.
• Ability to create and manipulate complex models and perform data analysis using advanced Excel functions, such as pivot tables, data validation, and macros.
• Ability to design and develop interactive dashboards, reports, and data visualizations to support analysis and decision-making.
• Experience with data cleansing and normalization.
• Ability to navigate ambiguity, solve complex challenges, and operate in a fast-paced team environment.
• Excellent interpersonal, communication and presentation skills.
• Experience in Power BI, Tableau data visualization and Data Architecture preferred.
• Python coding skill preferred.
Note: Your appointment designation will commensurate with your relevant work experience. Successful candidates will be offered a 3-year contract in the first instance, and may be considered for placement on a permanent tenure or subsequent contract renewal.
• Trained in Statistics, Mathematics, Computer Science, or a related quantitative field.
• Experience starting large analytic projects and collaborating with teams across global and functions.
• Experience solving business problems and using mathematical techniques using available data.
• Strong problem-solving skills to help refine problem statements and solve them with available data.
• Possess strong awareness of changes to data privacy requirements and maintenance, responsible and ethical data handling practices, and ensuring classification and governance of rules and regulations are consistently applied in work activities and results.
• Ability to write complex queries and procedures to extract or transform data from various sources. Knowledge in SQL programming preferred.
• Ability to create and manipulate complex models and perform data analysis using advanced Excel functions, such as pivot tables, data validation, and macros.
• Ability to design and develop interactive dashboards, reports, and data visualizations to support analysis and decision-making.
• Experience with data cleansing and normalization.
• Ability to navigate ambiguity, solve complex challenges, and operate in a fast-paced team environment.
• Excellent interpersonal, communication and presentation skills.
• Experience in Power BI, Tableau data visualization and Data Architecture preferred.
• Python coding skill preferred.
Note: Your appointment designation will commensurate with your relevant work experience. Successful candidates will be offered a 3-year contract in the first instance, and may be considered for placement on a permanent tenure or subsequent contract renewal.
About Civil Aviation Authority of Singapore
The Civil Aviation Authority of Singapore's raison d'etre is to develop the air hub and aviation industry in Singapore, expanding Singapore's links to the rest of the world. We enable opportunities through aviation, making connections, opening doors and enabling choices in people's lives.
About your application process
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and apply for other roles within Civil Aviation Authority of Singapore or the wider Public Service.