Group Data Analyst

Evos; Amsterdam; Hybrid; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Hybrid working

2-3 days per week from home

Travel allowance

Solid pension plan

Supportive and collaborative team

Job summary

Evos in the Netherlands is seeking a Data Analyst to turn data from our terminal operations into actionable insights, reporting, and improvements.

You will work with Microsoft Fabric, Power BI, SQL and Python to build analytics-ready data models and self-service dashboards, collaborating across IT, OT, and business teams.

The role offers hybrid working, growth opportunities, and a competitive salary with travel allowance and a solid pension.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Econometrics, Operations Research, or a related quantitative field
• 2–6 years of experience in a data, analytics, or data science role
• Good SQL and Python skills (e.g. pandas, scikit-learn, statsmodels)
• Experience with Microsoft Fabric or comparable platforms (Azure Synapse, Databricks)
• Experience with Power BI, including dimensional modelling (star schema), DAX, and semantic models
• A good foundation in statistics and time series forecasting, and experience applying it to real business data
• An understanding of data governance and data quality
• Fluent English, our main working language
• Nice to have: PySpark; Git/GitHub and CI/CD; domain knowledge of logistics and supply chain; Dutch/German/Spanish/French/Maltese; exposure to ML tools or AI applications

Responsibilities

• Build and maintain analytics-ready data models and transformations in Microsoft Fabric (Lakehouse/Warehouse, SQL, PySpark), using version control and CI/CD
• Build semantic models and Power BI reports (including Direct Lake) that give operational and commercial teams reliable, self-service insights
• Perform data analyses to explain trends, deviations, root causes, and business performance
• Support forecasting activities and help identify trends in throughput, tank utilisation, vessel/truck/rail movements, and demand
• Help identify and quantify operational improvement opportunities, such as turnaround times, capacity utilisation, planning efficiency, and energy consumption
• Translate business questions into analyses and present clear, actionable insights to stakeholders
• Contribute to data quality, documentation, and consistent KPI definitions across terminals, in line with data governance and security standards
• Explore opportunities to apply advanced analytics, AI, and machine learning where they can add business value

Skills

SQL

Python

Power BI

Data Modeling

Statistics

Education

Bachelor’s or Master’s degree in Data Science/Statistics/OR

Tools

Microsoft Fabric

Azure Synapse

Databricks

Git/GitHub

Job description

About the company: With more than 700 employees at eight terminals in seven key strategic hubs in Europe, we offer tailored storage solutions for liquid energy and chemicals. Every day, we look for better solutions, better service and better performance. We embrace the exciting opportunities ahead of us by combining our strengths, expertise and capabilities with those of our partners. Helping to deliver cleaner energy to empower society.

About the IT & OT Team: The Evos IT/OT team is responsible for ensuring secure, stable, and efficient IT and OT operations across all terminals. The department consists of several specialized teams covering IT Security, Business Applications, End User Services, IT Infrastructure, and Operational Technology. These teams work closely together with experienced colleagues and service partners. Data security and governance are embedded in both daily operations and continuous improvement initiatives.

About the role:Evos is looking for a Data Analyst enjoys turning data from our terminal operations into meaningful insights, reporting, and operational improvements. Experience with analytics and forecasting is an advantage.

This is a versatile role where you will work with data from across our terminals, build and maintain reporting solutions, perform analyses, and share insights with operational, supply chain, and commercial stakeholders. You will learn and grow with the support of an experienced data team.

Reporting to the Group BI & Data Manager, you will work in a modern Microsoft data platform environment: Microsoft Fabric, Power BI, SQL, and Python/PySpark.

Key responsibilities

• Build and maintain analytics-ready data models and transformations in Microsoft Fabric (Lakehouse/Warehouse, SQL, PySpark), using version control and CI/CD

• Build semantic models and Power BI reports (including Direct Lake) that give operational and commercial teams reliable, self-service insights

• Perform data analyses to explain trends, deviations, root causes, and business performance

• Support forecasting activities and help identify trends in throughput, tank utilisation, vessel/truck/rail movements, and demand

• Help identify and quantify operational improvement opportunities, such as turnaround times, capacity utilisation, planning efficiency, and energy consumption

• Translate business questions into analyses and present clear, actionable insights to stakeholders

• Contribute to data quality, documentation, and consistent KPI definitions across terminals, in line with data governance and security standards

• Explore opportunities to apply advanced analytics, AI, and machine learning where they can add business value

  Work location

  This role is based in the Netherlands.
  

  About you: Experience & knowledge

• Bachelor’s or Master’s degree in Data Science, Statistics, Econometrics, Operations Research, or a related quantitative field

• 2-6 years of experience in a data, analytics, or data science role

• Good SQL and Python skills (e.g. pandas, scikit-learn, statsmodels)

• Experience with Microsoft Fabric or comparable platforms (Azure Synapse, Databricks)

• Experience with Power BI, including dimensional modelling (star schema), DAX, and semantic models

• A good foundation in statistics and time series forecasting, and experience applying it to real business data

• An understanding of data governance and data quality

• Fluent English, our main working language

• Nice to have

  • Experience with PySpark

  • Familiarity with Git/GitHub and CI/CD

  • Domain or functional knowledge of logistics and supply chain

  • Dutch, German, Spanish, French, or Maltese

  • Exposure to machine learning tools or AI applications is a plus

• Curious, analytical mind with a critical eye for data and assumptions

• Business-oriented: able to turn complex analysis into actionable stories with measurable impact

• Versatile and pragmatic, eager to learn and to take ownership of your work

• Strong communicator and collaborative team player across IT, OT, and business teams
  

  Our offer: We offer a role in a dynamic and professional environment where your analyses help shape how our terminals operate, with plenty of room to grow your skills in data science, analytics engineering, and modern data platforms.

  In addition, we offer:

  • A competitive salary based on your knowledge and experience

  • Travel allowance

  • A solid pension plan

  • A supportive and collaborative team environment

  • Hybrid working, with 2-3 days per week from home

  • Opportunities for personal development and growth
    

No unsolicited acquisition.