Data Analyst

Samskip is a truly international company that innovates the most advanced sustainable and multimodal international transport solutions. With a turnover of more than 800 million euros, 1450 employees and offices in 24 countries (in Europe, North America, Asia and Australia) we are one of the largest transport companies in Europe. Within this structure, Samskip has shaped a comprehensive European network for short-sea, road, rail and inland waterway transport. This network provides pioneering sustainable, reliable and cost-effective options for the growing number of customers who demand more environmentally conscious logistics solutions.

As an experienced Data Analyst, you'll play a crucial role in driving data excellence. Your responsibilities will span a diverse range of tasks, all contributing to the success of our data initiatives.

Responsibilities:

• Lead data modeling efforts to ensure accuracy and reliability in reporting.
• Provide key support in data transformation projects.
• Mentor and guide other Data Analysts within the team.
• Act as the primary liaison between Business Analysts and Data Engineers, collaborating closely with the Data Architect.
• Translate complex business requirements into practical data-driven solutions.
• Effectively communicate insights to both technical and non-technical stakeholders.

Requirements:

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Demonstrated experience in data modeling and visualization, particularly within a logistics or supply chain context.
• Proficiency in data visualization tools (preferably Power BI) and statistical analysis tools.
• Previous experience mentoring or leading a team of Data Analysts.
• Excellent communication and interpersonal skills for effective collaboration across cross-functional teams.

Join us in shaping the future of data-driven decision-making!

Are you passionate about uncovering the hidden stories within data? Do you thrive on leading by example to bridge the gap between business objectives and data-driven solutions? If so, then this is your call to action! We're seeking an experienced Data Analyst to join our team.

Samskip is a truly international company that innovates the most advanced sustainable and multimodal international transport solutions. With a turnover of more than 800 million euros, 1450 employees and offices in 24 countries (in Europe, North America, Asia and Australia) we are one of the largest transport companies in Europe. Within this structure, Samskip has shaped a comprehensive European network for short-sea, road, rail and inland waterway transport. This network provides pioneering sustainable, reliable and cost-effective options for the growing number of customers who demand more environmentally conscious logistics solutions.

As an experienced Data Analyst, you'll play a crucial role in driving data excellence. Your responsibilities will span a diverse range of tasks, all contributing to the success of our data initiatives.

Responsibilities:

• Lead data modeling efforts to ensure accuracy and reliability in reporting.
• Provide key support in data transformation projects.
• Mentor and guide other Data Analysts within the team.
• Act as the primary liaison between Business Analysts and Data Engineers, collaborating closely with the Data Architect.
• Translate complex business requirements into practical data-driven solutions.
• Effectively communicate insights to both technical and non-technical stakeholders.

Requirements:

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Demonstrated experience in data modeling and visualization, particularly within a logistics or supply chain context.
• Proficiency in data visualization tools (preferably Power BI) and statistical analysis tools.
• Previous experience mentoring or leading a team of Data Analysts.
• Excellent communication and interpersonal skills for effective collaboration across cross-functional teams.

Join us in shaping the future of data-driven decision-making!