Senior Analytics Engineer

🚚 Founded in 2014, Shippeo is a European-based SaaS company specializing in supply chain visibility. Over the past two years, Shippeo has expanded rapidly, fueled by $110 million in funding from Tier 1 investors.

Shippeo prides itself on its exceptional diversity, with a team representing 27 nationalities and speaking 29 languages. With offices across Europe, North America, and recently Asia, we provide global, multimodal real-time transportation visibility to customers in various industries, including retail, manufacturing, automotive, and CPG.

Our vision is to become the leading data platform for the freight industry. By harnessing our growing network, real-time data, and AI, we aim to help supply chains deliver exceptional customer service and achieve operational excellence.

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

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

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

1. Step:  Recruiter Screen with our TA, Milena - 45'

2. Step:  Hiring Manager screening with Antoine - 45' 

3. Step:  Live use-case with Antoine & Mathieu - 60'

4. Step: Informal meeting with Khaled, our VP Engineering - 30' & the team - 30'