It’s time to go places

Description

Ryanair Labs are currently recruiting for a Data Analytics Team Lead 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 Analytics Team Lead, to work in a multi-disciplined team alongside Developers, Designers and Product Owners. The role sits inside the BI team in Ryanair Labs. The BI team are made up of 100+ 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 Engineers, Data Modellers, BI Analysts, BI Reporters & BI Developers.

Responsibilities

• Team Leadership & Mentorship: Lead and mentor a team of 8 Data Analysts, driving the successful delivery of diverse short & long term projects across the business. Coach the Data Analysts, fostering an environment of continuous development and professional growth through regular feedback, mentorship, and skill-building opportunities.
• Primary Point of Contact: Serve as the primary point of contact and representative for the Data Analytics team, ensuring seamless communication and collaboration with the business on all data-driven initiatives.
• Expand Team Influence: Increase the impact and reach of the Data Analytics team throughout the organization.
• Project Management & Delivery: Oversee and balance team workload effectively. Ensure effective project management of Data Analytics initiatives, driving timely delivery, prioritization, and alignment with business objectives.
• Cross-Office Collaboration: Collaborate closely with Data Science teams across all three offices to ensure alignment and integration of analytics efforts with broader data strategies.
• Commercially-Driven Project Prioritization: Drive project creation and prioritization with a focus on commercial impact, ensuring that business value and profitability are the key factors in decision-making.

Requirements

• Education Background: Relevant Undergrad Degree in field of Data Analytics or related field, Masters/PhD preferable.
• Work Experience: 5+ years professional experience in Data Analytics positions is preferable. Industry experience preferable.
• Management Experience. Proven experience in leading and managing a team of data analysts (or similar) is essential. The ideal candidate will have strong leadership skills, with a track record of mentoring and developing team members, setting clear goals, and providing constructive feedback. You should be adept at fostering a collaborative environment, managing performance, and resolving conflicts to drive team success and maintain high morale.
• Communication & Presentation Skills: Candidate must be a strong communicator – many projects involve people across various teams in different departments across the three offices. It is important to proactively communicate with colleagues & stakeholders on a daily basis. The role will involve regular presentations to non-technical audiences. It is important to be a confident & skilled presenter that is capable of translating complex problems & models in layman’s terms.
• Technical Experience: Experience with Python (5+ years), AWS/Databricks, and SQL (5+ years) is required. Proficient in Excel, data visualization, presentation software, data validation, and designing statistical tests also necessary.

Benefits

• Competitive Salary
• Hybrid working options
• Discounted and unlimited travel to over 230 destinations
• Defined Contribution Pension Scheme
• Death in Service Benefit – up to 2 times of annual basic salary
• 20 Days Annual Leave – Increasing to 22 days after 12 months and 25 days after 3 years
• Option for up to 5 additional unpaid leave days per year
• Cycle 2 Work Scheme
• Unrivalled career progression