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Data Analyst

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Description

Ryanair Labs are currently recruiting for a Data Analyst to join Europe’s Largest Airline Group!

This is a very exciting time to join Ryanair as we look to expand our operation to 800 aircraft and 300 million guests within the next 10 years.

Ryanair Labs is the technology brand of Ryanair. Labs is a state of-the-art digital & IT innovation hub creating Europe’s Leading Travel Experience for our customers.

The Role:

We are looking for a Data Analyst to work in a multi-disciplined team alongside Developers, Designers and Product Owners, who will own their work from the initial idea to the final implementation. The role will also involve mentoring junior members of the team who have an understanding of the area, but may need to lean on a more experienced colleague from time-to-time.

The role sits inside the BI team. The BI team are made up of 80+ people split across the three Ryanair offices: Dublin, Madrid & Wroclaw. Within the BI team there is a range of different professions: Data Analysts, Data Scientists, Data Engineers, Optimization Specialists, Data Modellers, BI Analysts & BI Reporters.

Requirements

  • Education: Relevant Undergrad Degree in field of Analytics, Masters preferable.

  • Work Experience: Relevant work experience in Data Analytics/Data Science positions.

  • Commercially focussed. The Commercial team are the stakeholders for the majority of Data Analytics projects undertaken. The candidate must be commercially astute and be able to recognise the value of projects. Job performance is largely assessed by commercial value added.

  • Ability to work independently. Crucial to be a self-starter and consistently show initiative & diligence on a daily basis. The team is built up of people who generate ideas and show initiative in the work they do. Take full responsibility for projects, and ensure they are delivered on time.

  • Communication Skills: Candidate must be communicative – most projects involve multiple people across various teams in different departments across the three offices. It is very necessary to be comfortable speaking with people regularly on a daily basis.

  • Analytical mindset: Be inquisitive and curious with data. Be able to interpret and analyse data. Be able to construct a story through data. Ability to uncover answers to important business questions through data.

  • Confident Presenter: The role will involve very regular presentations to non-technical audiences. It is important to be a confident & skilled presenter.

  • Direct Reports: Ability to delegate work to & manage Junior Data Analysts.

Technical – Requirements

  • Coding Language: Experience in Python/R. Python/R are regularly used across the BI team.

  • SQL: SQL experience from previous jobs is required. Need to be fluent in writing SQL queries to extract data from Data Warehouses.

  • Excel – extensive experience required. Spreadsheets very commonly used, need to be very comfortable working in Excel (pivot tables, extensive formula knowledge).

  • Data Visualization – A very important aspect of the role is to be able to explain analysis through the use of data visualizations. Experience with Data Viz software is preferred e.g. Tableau/PowerBI.

  • PowerPoint/Google Slides – Ability to quickly put together slide decks that summarize your analysis, and clearly tell a story. Have expertise in designing a range of styles of slide decks for varying audiences.

  • Data Validation: Important to be capable of validating datasets you work with contain correct information

Benefits

  • Competitive Salary
  • Work with cutting edge technologies
  • Hybrid working options.
  • Fast-paced environment
  • Further benefits depending on location

Competencies

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Changes to our Application Process.

We are in the process of making a number of changes to our application process and overall candidate experience. This will occur in a number of phases and you may be required to create a new candidate profile or input some additional info for your application to be progressed. If you have already successfully applied for a role, we kindly ask that you do not re-apply for this. Our teams will be in touch by phone or email if we wish to progress your application to the next stage.

Thank you for your understanding and patience at this time and we wish you the best of luck with your application.