Founded in 2014, Shippeo is a leading European SaaS company specializing in supply chain visibility. Over the past two years, we have experienced rapid growth, securing €140 million in funding, including €30 million raised in January 2025.
At Shippeo, we take pride in our exceptional diversity, with a team comprising 27 nationalities and fluent in 29 languages. With offices spanning Europe, North America, and most recently Asia, we deliver global, multimodal, real-time transportation visibility to customers across industries such as retail, manufacturing, automotive, and CPG.
Our vision is to become the world's leading data platform for the freight industry. By leveraging our expanding network, real-time data, and AI, we empower supply chains to deliver superior customer experiences while achieving operational excellence.
Job Description
Your mission
As a senior data analyst, you will drive major analytics initiatives with autonomy and vision. You’ll transform raw data into actionable insights, empowering teams across the organization. With your expertise in data storytelling, you’ll be the go-to person for creating impactful visualizations and presenting findings that shape strategic decisions.
What you'll do
Data mastery:
Uncover complex relationships within datasets and reveal insights that others might miss
Design and manipulate large datasets to build actionable and insightful reports that align with business needs
Create elegant, on-trend visualizations that simplify complex data, making it accessible to technical and non-technical stakeholders alike
Strategic impact:
Lead analytics projects critical to business success, ensuring seamless communication and collaboration across teams
Develop production-ready code for large-scale projects, maintaining best practices in documentation and quality
Mentor junior analysts, elevating their technical and analytical skills
Cross-functional leadership:
Act as a trusted advisor by engaging with stakeholders to understand their needs and expectations
Keep teams informed and aligned on progress, timelines, and changes with clear and proactive communication
Foster innovation by creating opportunities for the team to grow and thrive, all while ensuring top-notch results
Qualifications
Your profile
Must-haves:
MSc degree (or equivalent) in Data Science, Applied Mathematics, Statistics, or a related field
4+ years of hands-on experience in building and deploying data products in an Agile environment.
Strong proficiency in SQL and relational databases.
Strong experience in cloud data warehouse (ideally Snowflake)
Expertise in a data visualization tool like Tableau or Looker
Solid experience with data preparation scripts and creating data marts
Skills on DBT
Knowledge of algorithms, data structures, and version control (Git)
Bonus points:
Familiarity with cloud platforms (GCP or AWS)
Python proficiency and an understanding of programming best practices
Additional Information
Application Requirements:
Since Shippeo operates internationally, please submit your CV in English. We’re eager to hear from you if you’re ready to take on a challenge and grow your career in a supportive, innovative environment.
We are looking for talents who share our values:
- Ambition
- Care
- Deliver
- Collaboration
Find out more about our values in Our Culture Book
Discover your Dream Team!
Meet our Shippians and get to know more about their role at Shippeo!
Click here to watch their videos
Diversity Statement
We are committed to fostering diversity and inclusion within our workplace as we value the unique perspectives and experiences that individuals from all backgrounds bring to our team. We are dedicated to providing equal employment opportunities to all candidates, regardless of their background or abilities, and our commitment to inclusion is reflected in our policies, practices, and workplace culture.
Interview process
Step: Recruiter Screen with our TA, Milena - 45'
Step: Hiring Manager screening with Antoine - 45'
Step: Live use-case with Antoine & Mathieu - 60'
Step: Informal meeting with Khaled, our VP Engineering - 30' & the team - 30'
