Lead Data Analyst

1 day ago

Changi Airport, Singapore CAA Civil Aviation Authority of Singapore Full time

[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.

[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.

[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.

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