Senior Data Analyst - Ancillaries
We are looking for a Senior Data Analyst (m/f/d) for our Ancillaries Product Portfolio.
Join our dynamic team in a fast-paced environment where every day brings new challenges and opportunities!
In this critical role, you will work on a wide range of interesting tasks to actively support the business team in the revenue optimization process.
The role is focused on driving our Ancillary Products to the next level by identifying new opportunities, managing the optimization of existing products as well as analyzing current performance and deriving actions.
If you are passionate about working in a collaborative atmosphere and are ready to tackle intricate challenges head-on, we would love to hear from you!
This position is available in Lisbon. Your job - paint the world greenYou create data analyses and models as a basis for decisions on the further development and optimization of our product offering. You support in the development of the dynamic Ancillary Pricing concept and develop business rules as well as alert systems for price control. You enjoy your creative freedom in developing solution concepts for problems and proactively work with product experts, BI and the agile development teams to identify suitable data sources, collection methods and data connections and ensure high data quality. You define A/B tests including set-up and analyze results and derive actions. You actively drive automation processes forward. You communicate and present analytical approaches and results in a way that is appropriate for the target group. You interact regularly with different types of stakeholders from our and other departments. Your profile - ready to hop on boardDegree in business administration, mathematics, statistics, social sciences, business informatics, economics or similarYou have at least 5 years professional experience as Business Analyst, Data Analyst or data scientist, and are ideally familiar with the analysis of digital productsYou are an expert context-switcher who thrives in an environment working on numerous different types of projects and tasks each dayYou are experienced with A/B Test definition, set-up and especially analysis, used to work with CVR data, MDE etc. You are an expert in SQL, Snowflake and python are a plusYou are familiar with common methods and tools for cleaning and merging different data sources as well as data preparation and visualizationYou have solid experience in Excel and Power PointYou have excellent analytical skills and make decisions based on data. You have a deep-dive mentality and enjoy developing creative solutions to solve problem statementsYou are strongly driven, self-organized and highly reliableYou enjoy working with internal and external stakeholders, managing multiple projects and workstreams. You like working in an international team and contributing to team development. You speak fluent English, any other language is a plus. Want to rewrite the history of mobility with us?
Then join our ride and apply now.
We're excited to hear from you!
We recognize that everyone carries a unique set of valuable skills and experiences.
If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. About FlixWe are a global mobility provider with headquarters in Europe and the United States.
Since 2013, we have changed the way millions of people have traveled, offering new alternatives for convenient, affordable and eco-friendly travel.
Thanks to a unique business model and innovative technology, we have quickly established one of the largest long-distance mobility networks in the world – and our journey has just begun. Flix is proud to be an Equal Opportunity Employer.
We celebrate diversity and do not discriminate on the basis of race, color, religion, gender (including pregnancy and gender identity), national, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, age, veteran status, or other legally protected characteristics.
All employment decisions are based on business needs, job requirements, competence and merit.
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