Aviation Finance Data Manager

Role Specifications

We are developing the digital twin of commercial aviation, empowering our clients with fully integrated 360° industry data to drive greater efficiency and sustainability. ✈ The Challenge: Aircraft and airlines generate and collect massive amounts of data, but this data is hardly aggregated and leveraged in the industry. As a result, critical decisions are often based on fragmented or misinterpreted information, leading to financial inefficiencies and avoidable CO2 emissions. 💻 Our Solution: At Skailark, we help airlines make smarter decisions — financially and environmentally. We’ve built a digital twin of the global aviation market, modeling every seat on every flight across every airline. Our platform tracks fuel burn, CO₂ emissions, fleet costs, maintenance cycles, and operational constraints, allowing airlines to simulate decisions before they’re made and optimize real-world performance. Trusted by airlines like American Airlines, British Airways, Finnair, and Transavia and airports such as London Heathrow, Skailark is where complex data meets real impact. Ready to help shape the future of aviation? Tasks We are looking for a highly data-savvy, analytically strong Aviation Finance Data Manager with a passion for aviation finance and modeling to take ownership of our aviation financial data layer. In this role, you will work closely with our Head of Product, and you will manage aviation financial and operational to structure datasets that power our aviation digital twin. You will also contribute to the development of economic and financial models that translate real-world airline dynamics into scalable data products. This role is ideal for someone who is comfortable working hands-on with data, enjoys structuring complexity, and wants to grow into a key owner of aviation data and modeling infrastructure. Responsibilities: Translating real-world aviation observations and interconnections into data model concepts, especially around airline finance and cost Translate model concepts into data models using Alteryx Implement new data models into wider Skailark product landscape, including testing and validation Consistently improve existing models to increase accuracy and scope for our customers Hands-on ownership of full data pipeline: identify sources, wrangle and clean data, validate validity and accuracy Requirements Strong analytical thinker with the ability to understand and interpret complex aviation and finance-related connections Independent with a strong sense of ownership and a “getting things done” mindset Confident to translate real-world aviation business and operational processes into structured data concepts and models Understanding of (aviation) financial data/ statements, operational costs, and accounting policies Hands-on experience with data analysis and manipulation Interest in finance and aviation; previous experience in these contexts is a plus Basic experience with Alteryx is a plus If you are an AI plea

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