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Data Analyst

  • Location:

    Brussels

  • Sector:

    Technology

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Lancei Diaby

  • Contact email:

    Lancei.Diaby@oliverjames.com

  • Job ref:

    JOB-012025-266796_1737023777

  • Published:

    5 days ago

  • Expiry date:

    2025-02-15

  • Startdate:

    01/02/2025

Oliver James, a renowned recruitment agency, is currently seeking a highly motivated and detail-oriented Data Analyst to join one of our key clients in the utilities sector. The role offers a unique opportunity to work in a dynamic industry where data-driven solutions play a crucial role in driving operational excellence and innovation.

As a Data Analyst, you will leverage your expertise in data analysis and visualization to extract insights, inform strategic decisions, and support operational efficiency. This position is ideal for candidates with 1-2 years of experience looking to advance their careers in a fast-paced, impactful environment.

Key Responsibilities:

  • Collect, clean, and analyze large datasets to uncover meaningful trends and patterns.
  • Design and maintain interactive dashboards and reports using Power BI and Excel.
  • Develop and execute SQL queries to extract and manipulate data from relational databases.
  • Collaborate with internal and external stakeholders to define data requirements and deliver actionable insights.
  • Ensure data accuracy, consistency, and integrity across all reporting processes.
  • Provide ad-hoc analysis to support decision-making across various business functions.

Requirements:

  • 1-2 years of professional experience in a data analyst or similar role.
  • Proficiency in Microsoft Excel, including advanced functions (pivot tables, VLOOKUP, etc.).
  • Hands-on experience with Power BI to create dashboards and visualizations.
  • Strong knowledge of SQL for querying and managing datasets.
  • Analytical mindset with strong problem-solving skills and attention to detail.
  • Excellent communication skills, both written and verbal, with the ability to present findings effectively to technical and non-technical audiences.
  • A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field is preferred but not mandatory.

Preferred Qualifications:

  • Familiarity with data management practices and tools.
  • Understanding of the utilities sector or experience working in a similar industry.
  • Experience with other data visualization tools or scripting languages such as Python or R (optional but a plus).
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