Data Science Analyst

Wrocław

Hybrid

Technology

Mid

UoP or B2B

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.

The role & the team:

You will join our Advanced Analytics team, which focuses on building sophisticated models, segmentation, and profiling to support strategic goals. You'll work closely with product and business teams, turning data insights into actionable solutions and powerful Tableau dashboards.

What will you do:

• Translating business requirements into analytical solutions, including analyzing needs, designing solutions, prototyping reports, and aligning with stakeholders.
• Creating interactive dashboards in Tableau for business teams and the Management Board, including geographic, trend, and KPI visualizations, as well as monitoring 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 data volumes in Snowflake and AWS, 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.

Required skills:

• Experience in advanced data analytics, including profiling, segmentation, and testing business hypotheses to support 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.
• Tool Pro: advanced SQL (including query optimization) for large datasets in Snowflake; Python with practical knowledge of analytical libraries (Pandas, NumPy, Matplotlib, Scikit-learn); Tableau (designing and optimizing dashboards); 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)

Bonus points for:

• Snowflake Badge 1: Data Warehousing Workshop
• Experience with PySpark or Snowpark
• Knowledge of Airflow

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.

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 , 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

01

First click - let's start

Submit your CV and answer a quick Questionnaire – you'll get confirmation immediately Easy, right?

02

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

03

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

04

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.

05

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.

06

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

Joanna Labocha

Talent Acquisition Partner

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