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Data Analyst

Posted 23 Feb 2026
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Work experience
3 to 8 years
Full-time / part-time
Full-time
Job function
Degree level
Required language
English (Fluent)
Deadline
30 November 2026

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As a Data Analyst, you are responsible for transforming data into actionable insights that support decision-making across the entire omni-retail value chain. You will play a key role within the Data & Analytics function, enabling and empowering business domains such as Sales, Marketing, Logistics, Product, and Pricing through high-quality data products, analyses, and insights.

Working in a data-driven and fast-paced e-commerce environment, you collaborate closely with stakeholders to translate business questions into analytical solutions that create measurable business impact.

You will:

  • Collect, extract, clean, validate, and prepare large datasets from e-commerce platforms, sales systems, loyalty programs, and marketing channels;
  • Support the delivery of Data & Analytics products by analyzing business case requests for data marts, data feeds, analytics, and AI / ML solutions and assessing expected business impact;
  • Perform data availability and data mapping assessments across multiple data sources;
  • Validate data quality and ensure deliverables meet business expectations;
  • Analyze sales trends, customer behavior patterns, inventory performance, and campaign effectiveness;
  • Collaborate with analysts, team leads, and managers to define requirements, present insights, and translate business needs into analytical projects;
  • Provide data-driven recommendations related to promotions, pricing, marketing, merchandising, and customer segmentation;

We offer:

  • 25 vacation days, increasing with time of service, with the option to purchase 10 additional days;
  • 8% holiday allowance;
  • Non-contributory pension;
  • €0,23 / km net travel allowance and a net remote work allowance of €2,45;
  • A hybrid work model, with full support for your home office setup;
  • Laptop and phone provided by vidaXL;
  • A positive work environment: 8 out of 10 colleagues say we’re a good place to work and feel part of the team.

You have:

  • A Bachelor’s degree (preferably) in Computer Science, Statistics, or a related field, and a high level of English proficiency;
  • 3+ years of experience in Data, BI, Analytics, Data Science, or AI domains, preferably within e-commerce, retail, consumer goods, or another data-intensive industry;
  • Advanced SQL and Excel skills;
  • Experience with visualization tools such as Tableau, Power BI, or Looker;
  • Experience with Python or R; Google BigQuery / GCP is highly desirable but not mandatory;
  • Experience working in agile environments using frameworks such as Scrum, Kanban, or SAFe.

Why vidaXL

vidaXL is a major player in the ever-growing world of e-commerce. Since our foundation in 2006, we've expanded our global reach, serving millions of customers with a vast selection of products for every aspect of their lives. Our bold and down-to-earth approach sets us apart. We embrace challenges, take chances, and try new things every day to provide the best possible experience for our customers.

We believe in our people and love investing in their personal growth. We offer the freedom to seize opportunities, thrive, and grow alongside a global e-commerce leader.

vidaXL is a key player in global e-commerce. Since 2006, we've expanded worldwide, offering millions of customers a vast range of products for all their needs. Our bold, down-to-earth approach sets us apart as we tackle challenges, take risks, and innovate daily for the best customer experience. We invest in our people, fostering personal growth and providing the freedom to seize opportunities and grow alongside a global leader. Join us and grow XL!

Retail
Venlo
Active in 8 countries
3,000 employees
50% men - 50% women
Average age is 30 years