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.
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?
We are looking for a Aviation Finance & Data Analyst (Product Development) with a passion for aviation finance data and modeling to take ownership of our aviation financial data layer. You will transform real-world aviation insights into scalable data models that power our product. From translating complex airline finance and operational concepts into robust data architecture to owning data pipelines and continuously enhancing model accuracy, you will play a critical role in delivering high-quality insights and value to our customers.
Responsiblities:
Skailark is an equal opportunity employer that values diversity and respects individuals from all backgrounds. Don’t meet every single requirement? If this role excites you, please apply anyway.
Join our international crew and help shape the future of aviation! We’d love to hear from you.
Please include university certificates with grades, referral letter(s) and any relevant certificates along with your cover letter.
Our Mission:
Enabling Aviation to become more sustainable, both economically and environmentally.
How do we do this?
At Skailark, we help airlines make smarter decisions — fina…