Data Analyst Lead

Company Description

We are a part of International Airlines Group, one of the world's leading airline groups flying to over 270 destinations and carrying more than 100 million passengers each year.

We provide a plug and play platform of scalable, best in class procurement, finance and IT business services to Aer Lingus, British Airways, IAG, IAG Cargo, IAG Loyalty, Iberia, Iberia Express, LEVEL andVueling.

We combine functional expertise with a strong focus on customer service to make our Group stronger, more efficient, more competitive.

The Data Analyst Lead will provide day to day data management and analytics support in order to help the organisation make data-driven decisions that are crucial for enhancing workforce efficiency as well as cooperate with internal centralised functions such as Finance, Talent & Reward Teams.  

Job Description

• Gather data from various sources, analyze, and interpret complex sets of data related to employees and other organizational resources according to reporting calendar,
• Conduct statistical analyses to identify trends and understand relations between various HR activities and organizational outcomes
• Use data visualization tools and storytelling to present HR data in a clear and concise manner
• Collaborate closely with other departments such as: Finance, People Operations, HR Business Partnering to ensure that the data supports broader business objectives
• Design, develop and maintain HR reports/dashboards ensuring accuracy, timeliness and completeness of data for management reporting and planning purposes across the IAG group   
• Conduct audits and escalate data errors, anomalies to data users and reference data management team  
• Constructively challenge analytics processes, methodologies and tools, introducing changes that enhance and constantly improve the quality of output with deep understanding of people data sets  
• Assist with implementing and maintaining Workday HRIS
• Maintain report catalogue together with the instructions and definitions knowledge base to ensure the business continuity

Qualifications

• University degree in Computer Science, Finance, Economics, Data Science or Business administration,   
• General knowledge of fundamental financial concepts and analysis,  
• HR degree would be an asset,
• Over 2 years relevant experience in a management reporting analysis role in an international company   
• Excellent knowledge of Microsoft Power BI and advanced Microsoft Excel.
• Familiarity with data analysis tools like SPSS, SAP,
• Practical usage and application of SQL or Python,
• Experience with Workday would be an asset, 
• Experience with regression analysis models,
• Project accounting experience an advantage, ideally on multi-disciplinary projects,  
• Interest in AI tools helping data analysis,
• Ability to operate effectively in a very fast moving, global environment with tight deadlines and limited resources,
• Strong analytical problem-solving skills to understand complex datasets and turn them into actionable insights for the company,
• A solid grasp of statistical techniques and methodologies to identify trends and patterns within the data, providing valuable insights that can influence decision-making processes,
• Perfect attention to detail,
• A strong customer focus, and communication committed to exceeding customer expectations and continuous improvement, 
• Willingness to challenge process and drive change,  
• Ability to communicate with senior stakeholders.

Additional Information

What we offer:

• The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry.
• The opportunity to work in a multi-cultural environment with great offices in many locations.We aim to provide all our people with a work/life balance, as well as the many benefits offered by a global organisation, including health insurance, pension and performance bonuses.
• We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.