Data Analyst

Telenet

Brussel Hoofdstad

Sur place

EUR 55 000 - 75 000

Plein temps

Il y a 3 jours
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Résumé du poste

Data Analyst at Telenet in Belgium, within the Technology & Partnership Reporting team. You will support decision-making through accurate and insightful reporting and dashboards.

The role emphasizes data collection, cleaning, and deep-dives to deliver actionable recommendations and proactive stakeholder partnerships in a fast-paced telecom environment.

Qualifications

  • Master's degree in a quantitative field.
  • Minimum 3 years of work experience.

Responsabilités

  • Develop curiosity and understanding of business context.
  • Collect, query, clean, and manipulate data.
  • Define, build, and automate reporting dashboards.
  • Develop proactive partnerships with stakeholders.
  • Perform deep-dive analyses for actionable recommendations.
  • Contribute to optimizing reporting processes.
  • Engage in the community of data professionals.

Connaissances

SQL
Qlik Sense
Power BI
Tableau

Formation

Master's degree

Outils

Snowflake

Description du poste

Master's degree in a quantitative field. Minimum 3 years of work experience.

Languages
  • Dutch (bonus)
  • French (bonus)
Required Skills

SQL Qlik Sense Power BI Tableau

Nice to have

Snowflake

Soft Skills

Strong analytical skills Hands-on mentality Constructive mindset Effective collaboration Strong communication skills

About
The Position

As a Data Analyst, you will work within the Technology & Partnership Reporting team. Your role involves supporting decision-making through accurate and insightful reporting.

The Company

Telenet is a leading telecommunications company focused on delivering innovative technology solutions. Our mission is to enhance connectivity and digital experiences for our customers. We aim to be at the forefront of technological advancements, providing reliable and efficient services.

Your Responsibilities
  • Develop curiosity and understanding of business context.
  • Collect, query, clean, and manipulate data.
  • Define, build, and automate reporting dashboards.
  • Develop proactive partnerships with stakeholders.
  • Perform deep-dive analyses for actionable recommendations.
  • Contribute to optimizing reporting processes.
  • Engage in the community of data professionals.
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