Who are we looking for:
We are looking for a Data Science Analyst with strong analytical thinking skills and a proactive approach to solving complex problems. You should be adept at interpreting data to provide key insights that support business decisions.
The role & the team:
In this role, you will translate business requirements into analytical solutions and process large datasets in Snowflake and AWS. You will utilize machine learning methods and create interactive Tableau dashboards to monitor products and drive their continuous improvement. Your work will be crucial in identifying trends and areas for enhancement within our product functionalities.
What will you do:
- Conduct exploratory analyses to identify trends, anomalies, and key areas for improving product functionalities.
- Translate business requirements into analytical solutions and create analytical documentation.
- Process large datasets in Snowflake and AWS, utilizing machine learning methods for analytics.
- Design, build, and optimize interactive dashboards in Tableau for ongoing product monitoring.
- Monitor the quality of delivered solutions to ensure their continuous development and improvement.
- Maintain high standards in the quality of the analytical solutions you deliver.
Required skills:
- At least 3 years of experience in advanced data analysis.
- Advanced knowledge of SQL (e.g., Snowflake).
- Knowledge of Python.
- Good knowledge of Tableau for designing, building, and optimizing interactive dashboards.
- Knowledge of Data Science (model evaluation, types of machine learning models, clustering methods).
- Understanding of basic machine learning algorithms.
- Ability to work with Git for code versioning and team collaboration.
- Analytical thinking and problem-solving skills for complex business and technical issues.
- Ability to interpret data, draw conclusions, and identify key insights to support decision-making.
Bonus points for:
- Experience with cloud platforms (AWS, Snowflake).
- Knowledge of Airflow.
- Interest in new technologies in the Data Science field.
What your future teammates love the most:
- Private LuxMed healthcare, free preventive check-ups,
- Comfort Work Setup: we provide funding for upgrading your home workstation
- International workation trips & team-building events
- Family trips to our private lakeside resort
- Sport & Fun: MultisportCard & company sport groups – yoga, basketball, crossfit and more. You can even start your own group!
- Subsidized English lessons with a native speaker
- Life insurance with UNIQA.
- Office perks: awesome breakfasts, flexible working hours, spine-relieving massages
About us:
We are at the heart of the digital revolution in transportation. Since 2004, we’ve been building one of the largest logistics platforms in Europe, bringing together carriers, forwarders, and shippers in one place. We automate processes, enhance transaction security, and make transport more efficient.
We’re an international tech company operating in 13 countries, and we’re just getting started. We develop cutting-edge digital solutions for transport, freight forwarding, and logistics, powered by the expertise of top developers, customer experience specialists, machine learning engineers, and AI experts. If you’re looking to shape the future of transport technology – this is the place for you!
At Trans.eu, we believe in Smart & Fair Logistics – a more efficient and transparent industry. That’s why we’ve expanded our capital group, building a network of specialized companies that help us drive this mission forward.
Recruitment process
First click - let's start!
Submit your CV and answer a quick Questionnaire – you’ll get confirmation immediately Easy, right?
CV Review – We Really Read Them!
We’re looking for details that show you’re the perfect fit for the role. Show us what you’ve got!
Friendly "Hello"
Our first call will be short, concise, and to the point. We’ll get to know each other better and plan the next step. Relaxed and stress-free!
Face-to-Face
We’ll meet in person or online for about 1-1,5 h. We’ll tell you about the company and the position. We might ask to complete a task or assess your soft skills using the DISC assessment – to see if we are a match made in heaven.
Moment of Truth
After interviewing other candidates, we’ll get back to you with an answer – whatever it may be. It usually takes us no longer than 2 weeks.
Ahoy Adventure!
Hooray! You’re with us! We’ll invite you to our epic Welcome Days – where you’ll get to know the product, company culture, and how to navigate within it.
If you have any questions, feel free to reach out to me
