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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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Paulina Cupriak

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Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behandelen iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.

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