![TUI Group](https://media.trabajo.org/img/noimg.jpg)
Financial Data Analyst
1 day ago
TUI Group is the world's leading integrated tourism business, operating a diverse range of airlines across Europe and beyond. As a key function within our airline organisation, Airline Finance plays a critical role in supporting the business to ensure accurate and timely reporting of actuals, forecasts and budgets.
Job Description
As Financial Data Analyst, you will be responsible for developing, managing and improving the transfer pricing of all Northern Region Airline costs to our Tour Operators. You will also produce end-to-end profitability analysis of flown routes, highlighting any deviations from original pricing for the budget, forecast and end of the season. Your focus will be on ensuring consistency, accuracy and alignment across all relevant data points and methodologies.
Key Responsibilities
- The airline is embarking on a new journey to refine its approach to calculating route profitability, and you will play a key role in supporting the project team to successfully deliver this.
- You will be the primary point of contact for Airline pricing rounds, where mini budgets translate to a cost per seat communicated to Tour Operators.
- Create contracted airline cost per seat per destination rates (seat rates) charged to internal and external Tour Operators (circa 18 months in advance of the season starting).
- Form strong relationships with key finance and non-finance colleagues to obtain the necessary information required in a timely manner to deliver the contracted seat rates.
- Create ad hoc seat rates (e.g., new routes, re-routes).
- Present the proposed seat rates to senior Airline Board members for sign-off, highlighting capacity and fleet movements, operational efficiencies and inefficiencies that have driven cost, commercial reasoning behind the numbers calculated, the impact of rate and FX, plus any other factors that may impact the calculated seat rates.
Requirements
Logical and analytical approach to working with large data sets and a good eye for detail. Proficiency in MS Excel and MS PowerPoint, including creating meaningful and engaging presentations. Knowledge of Tableau or other data management systems is a plus.
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