Data Analist

Netherlands | July 28, 2026

Report as Closed

Company: EURES

Country: Netherlands

Type: Onsite

Employment: Contract

Description: Vepco B.V.
Data Analyst
Vepco B.V. Klundert
Interested Apply now
What is required? - HBO working and thinking level - At least 3 years of relevant work experience - Experience with Power BI and Python - Experience with data modeling, AI solutions and the (further) development of a data warehouse are advantages - Knowledge of SQL - Good command of the Dutch language, both spoken and written - You have an eye for detail and can explain technical information in an understandable way to colleagues
More requirements
What do you get? - From €3,800 gross p/m (depending on knowledge and experience) - 40-hour working week - 24 vacation days + 3.5 ATV days - Personal training budget of €1,000 - Career opportunities within the organization, depending on your ambition and performance - You become part of a growing and innovative company - A pleasant working atmosphere with motivated and enthusiastic colleagues
More rewards
What do you do?
- 15% Design, develop and optimize SQL views, tables and aggregations - 15% Provide insight into KPIs through Power BI dashboards and reports - 10% Collecting data - 15% Cleaning, combining and analyzing data with Python - 15% Developing data models that form the basis for reliable reporting - 15% Translating colleagues' information needs into smart data solutions - 15% Performing ad-hoc analyzes that contribute to strategic and operational decision-making
Contact us.
Lina Rautenberger / Aïsja Gils
HR Advisor
- werkenbij@vepco.nl - Path 2Created with Sketch. +31 (0)85-4843238
As a Data Analyst at Vepco, you ensure that data is reliable, accessible and usable for the entire organization. This mainly concerns financial and operational data, from kilometers driven, hours worked and orders delivered to turnover and costs. The data is largely internal, but you also draw from external sources, such as terminals, toll booths and on-board computers.
You monitor data quality at the front: ...

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