Senior Analytics Engineer
Brno
Strategy – Revenue Management /
full-time /
Hybrid
Kiwi.com is a leading global travel-tech company headquartered in the Czech Republic. Our innovative algorithm enables users to find better route options and prices other search engines can’t see, daily performing billions of price checks across 95% of global flight content. Are you bold, bright and curious? Join a global business that’s still got a start-up heart.
We at the Inventory domain at Kiwi.com are responsible for ensuring that our users find the search results they are looking for, at the right price by acquiring comprehensive, accurate, and competitive flight content. As a vital component of this mission, the Inventory Analytics and Experimentation team focuses on delivering insights and identifying new opportunities for improvement through leveraging market, trading and, internal performance data.
What you will do
- As an Analytics Engineer, you will be at the intersection of data and business, ensuring that our data supports reliable and insightful decision-making.
- You will collaborate closely with business stakeholders to understand data needs, identify key data sources, and design efficient, scalable data models.
- You will oversee the entire data transformation process that supports data analytics.
- You will own the data validation and integration activities, ensuring that our data warehouse and source systems deliver trustworthy data for reporting and analysis.
- You will translate business data requirements into actionable technical tasks. You will design and implement sustainable solutions to meet current and future data needs, while ensuring that data quality remains high.
- Working closely with the Data Engineering team, you will build scalable, maintainable data products and support the overall architecture of our data warehouse.
- In addition, you will proactively diagnose and resolve data quality issues, offering recommendations for corrective actions and long-term prevention.
- By ensuring seamless data flows and accuracy, you will empower business users with the insights they need to make informed decisions.
What you will need
- Experience in Data Analytics or Data Engineering, with strong proficiency in SQL for building and optimising data solutions
- Solid understanding of ETL processes, data modelling techniques along with cloud-based data warehouse architecture
- Familiarity with data orchestration and automation tools (e.g. Airflow, Prefect) and experience with cloud-based platforms (e.g. BigQuery, Snowflake)
- Experience with data versioning and code management (e.g. Git, CI/CD pipelines)
- Effective communication skills, with the ability to collaborate across teams and translate technical concepts for both technical and non-technical audiences.
- A problem-solving mindset, with curiosity and a willingness to innovate and improve data infrastructure and processes
- Nice to have: Experience with BI tools and managing the semantic layer (e.g. Looker, Tableau, Power BI), including LookML or equivalent.
We offer you
- We give our employees the freedom to choose between the environment of work from home and our modern office located in ZET Nová Zbrojovka with an in-house gym, masseur, sleeping spots, canteen, showers, chillout zones, free refreshments, Rebelbeans coffee, garage for cars/motorbikes/bicycles.
- We enjoy benefits, such as meal vouchers, 25 days of paid vacation, Cafeteria, sick days, VIP Medical Care, Multisport card, Makro Cash & Carry Card, Employee Assistance Program, and career development framework.
- Annual financial bonus based on company and individual performance.
- Relocation package (including visa transfer support).
- We're rewarding Kiwis with flight vouchers to celebrate their Kiwi anniversaries.
- Grow.Kiwi program which supports parents and keeps them engaged with the company.
- Dogs are welcome in our offices.
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Interested? Join us and help us make travel more accessible to all.
Kiwi.com is proud to be an equal opportunity workplace and employer. We review applications for employment without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
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