AOP Data Analyst (12 Month FTC)

The extended Airport Operations Plan (eAOP) programme requires a Rolling Plan to be developed. For Dublin Airport this will be achieved via the Corporate Data Platform (CDP) implementation. Operations Data provide the service of creating operational analysis and working with operations business/product owners to specify pre-ops, live and post-ops views for operational use. 

An opportunity has arisen for a Data Analyst within Dublin Airport’s Operations Transformation data team. This role is focused on delivering the AOP KPIs required to realise the Rolling Plan & to work with the Transformation team to develop an Airside zone to monitor & use these KPIs in the APOC. 

We are looking for a candidate that has a passion for understanding patterns within data, is self-motivated, detail oriented and has the experience to work on their own initiative. The position requires someone with excellent analytical and data querying skills, strong communication ability, along with the ability to deliver on time to a high standard. This is an excellent opportunity to understand the complexity of a large, congested airfield. This role will report to the Operations Data Scientist.

Responsibilities

• Understand, build & test in SQL Databricks the 92 AOP KPIs for the Rolling Plan which have been recommended by ACI, making them available in the CDP via Power BI to be used by relevant teams, working closely with the DAA Labs Data & Analytics team.
• Work in the Transformation Data team’s sprint cycles to develop & deliver the above.
• Work with the Transformation team to develop an Airside zone to monitor & use these KPIs in the APOC & Operations teams.
• Develop a close working relationship with key internal stakeholders (e.g. AOP/A-CDM team, Transformation, APOC & Airside) to drive clear understanding & use of the KPIs.
• Keep up to date on relevant developments and best practices in the analytical and data visualisation areas & bring these into our processes in Transformation Data.

Qualifications

• Hold a relevant primary degree in mathematics, computer science, statistics, or a relevant numerically focused degree.
• Proficiency with the following is required:
• Experience in the following is a strong advantage:
• Self-starter with proven ability to meet targets and deadlines while maintaining focus on vision and purpose of work outputs, not just activities. 
• Proven organisational skills with ability to manage workload well & deliver.
• Analytical mind-set with strong problem-solving and critical thinking skills.
• Confident communicator (verbal and written) with a proven ability to communicate effectively.
• Committed to daa values.

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