Data Science Analyst | Mid
Poland, Polska
Key offer highlights
Data: SQL / BI / Python
Backend: Java / .NET / Node / Python
English B2/C1
Independent position - mid-level
Remote work - no commuting
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.
Required skills
Bonus points for:
Growth Opportunities:
Experience in advanced data analytics, including profiling, segmentation, scoring, predictive modeling, and developing analytical models that support business and strategic decision-making. Skilled in designing, maintaining, and processing large datasets (Data Marts), as well as applying statistical and analytical methods to identify trends, behavioral patterns, and key drivers impacting business performance.
Technical Skills: advanced SQL (including query optimization) for large datasets in Snowflake; Python with practical knowledge of analytical libraries (Pandas, NumPy, Matplotlib, Scikit-learn); Experience building analytical applications in Streamlit; Git.
Soft Skills: strong analytical thinking, ability to solve complex business problems, and skills in data interpretation to draw actionable conclusions.
Language: Polish (C2), English (B2)
Snowflake Badge 1: Data Warehousing Workshop
Experience with PySpark or Snowpark
Knowledge of dbt
Collaboration in a team that encourages experimentation and innovation, providing opportunities to contribute your ideas and solutions.
Team budgets for specialized training and courses tailored to your needs.
Development of skills with cutting-edge AI tools as our company invests in modern technologies and continuously improves internal processes.
Opportunity to attend technology conferences to learn, network, and stay up to date with industry trends.
The role & the team
You will join our Advanced Analytics team, which focuses on building advanced analytical models, segmentation, profiling, scoring, and predictive solutions to support strategic goals. You’ll work closely with product and business teams, turning data insights into actionable solutions and interactive analytical applications built in Streamlit.
Poziom doświadczenia
Mid
Who are we looking for
We are looking for a proactive and detail-oriented analyst who enjoys translating complex business problems into clear analytical solutions. You’ll thrive in our team if you are passionate about data modeling and using advanced analytics to drive strategic decisions.
What will you do
Translating business requirements into analytical solutions, including analyzing needs, designing solutions, prototyping reports, and aligning with stakeholders.
Creating interactive analytical applications in Streamlit for business teams and the Management Board, including geographic, trend, and KPI visualizations, as well as continuously improving usability and performance.
Conducting exploratory data analysis (Python, SQL) on large datasets to identify trends, anomalies, and areas for improvement, and formulating strategic recommendations.
Processing and integrating large volumes of data in Snowflake and dbt, creating and maintaining data sources, and optimizing processes using SQL and Python.
Monitoring the quality and performance of implemented analytical solutions and driving their continuous improvement.
Creating and updating technical and business documentation in Confluence to ensure the continuity of analytical operations.
What your future teammates love the most
Private LuxMed healthcare, free preventive check-ups, spine-relieving massages.
Budget for remote workstation equipment and gift vouchers.
On-site buffet breakfasts prepared fresh daily.
Team-building and family trips to a private lakeside resort.
Subsidy for a Multisport card.