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Power BI Specialist / Data Analyst – GJA 16



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Role Overview

As a Power BI Specialist / Functional Data Analyst at ING, you will play a key role in turning data made available to you into clear, reliable and actionable business insights. Your work will help teams, management and front-office stakeholders make faster, smarter and better-informed decisions.

In this role, you will:

  • Translate business questions into relevant views, datasets and data products that make insights easy to access and use.
  • Maintain, design and optimize Power BI data models to deliver high-performing, scalable and trusted reporting solutions for management and front-office teams.
  • Develop, automate and enhance Power BI dashboards, ensuring that available data is transformed into meaningful insights that support performance steering, prioritization and decision-making.
  • Create compelling visualizations and narratives that translate complex data into clear, intuitive and business-relevant stories.

Key Responsibilities

Data Modeling and Collaboration:

  • Partner with business stakeholders to understand their objectives, clarify problem statements and define how available data should be transformed, enriched and presented for maximum impact.
  • Design and optimize Power BI data models that are robust, performant and intuitive, enabling advanced features such as hierarchical filtering, drill-down analysis and multi-level organizational structures.

Reporting and Automation:

  • Contribute to the development of a Power BI Center of Expertise by promoting best practices in dashboard design, data modeling, performance optimization and governance.
  • Develop and automate the underlying processes required for recurring reports, including weekly, monthly, quarterly and annual reporting cycles.
  • Build interactive dashboards and reports that deliver actionable insights, highlight key trends and enable users to explore the data independently.

As a Power BI Specialist / Functional Data Analyst, you should have the following qualifications and competences:

Qualifications 

  • Master’s degree in Mathematics, Economics, Computer Science, Information Management or alike, and/or equivalent experience of 5 years.
  • Minimum 5 years relevant experience in data analytics
  • Experienced in SQL.
  • Strong expertise in Power BI data modeling, advanced DAX, report performance optimization and dashboard development.
  • Advanced experience in developing, automating and maintaining reporting solutions using Power BI.
  • Experience with tools such as SAS is a plus
  • Experience in analytical work with large datasets and relational databases.

Core Competencies 

  • To be customer driven and focused, loving to collaborate with different people.
  • An entrepreneurial attitude – taking initiative and making things happen.
  • Be analytical and insight-driven: curious about banking and business performance, able to identify patterns in data and translate them into concise, relevant conclusions.
  • Open to learn other dashboarding solutions
  • Banking knowledge is a plus
  • Be able to influence and convince peers and stakeholders by clearly explaining analytical results, business implications and recommended actions.
  • Fluent in English and Dutch or French

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Questions? Just ask
Paulina Cupriak

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Chez ING, nous voulons libérer tout le potential de nos collaborateurs, grâce notamment à une culture inclusive où tout le monde peut se développer et avoir un impact sur nos clients et sur la société. Nous veillons à ce que la diversité, l'équité et l'inclusion soient prioritaires. En tant qu'employeur souscrivant au principe de l'égalité des chances, nous ne tolérons aucune forme de discrimination, qu’elle soit liée à l'âge, au sexe, à l'identité sexuelle, à l'origine culturelle, à l'expérience, à la religion, à la race, à l'origine ethnique, au handicap, aux responsabilités familiales, à l'orientation sexuelle, à l'origine sociale ou à tout autre statut protégé par la législation. Si vous avez besoin d'aide lors du processus de candidature et/ou d'entretien, veuillez contacter le (la) recruteur(se) du poste concerné. Nous serons heureux de vous accompagner pour garantir un processus équitable et accessible. Apprenez-en plus sur notre engagement en faveur de la diversité, de l’inclusion et de l’appartenance.

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