Group Data Analyst - Hybrid, Growth & Insights

Evos; Amsterdam; Hybride; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Hybrid working

2-3 days per week from home

Travel allowance

Solid pension plan

Supportive and collaborative team

Résumé du poste

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

Responsabilités

• 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

Connaissances

SQL

Python

Power BI

Data Modeling

Statistics

Formation

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

Outils

Microsoft Fabric

Azure Synapse

Databricks

Git/GitHub

Description du poste

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.