Data analyst in digital marketing

As a Data Analyst within the Central Data Office, you contribute to building scalable data practices across ING. You support the organization-wide development and adoption of data capabilities for the Data Analyst community and work closely with Product Leads, Martech, Analytics and business stakeholders. Your focus is on enabling consistency, collaboration and continuous improvement of data processes, tooling, documentation and knowledge sharing. You combine analytical expertise with strong collaboration skills to ensure data practices are scalable, reusable and aligned across the organization.

• Supporting the adoption of shared data standards, frameworks and best practices across tribes and teams.
• Developing and maintaining documentation, guidelines and playbooks to ensure clarity, consistency and accessibility.
• Contributing to the craftsmanship of the Data Analyst community by raising standards and integrating new data practices.
• Translating data into actionable insights and presenting outcomes in a clear, understandable and business-relevant way.
• Collaborating with data specialists, marketers, analytics colleagues, product leads and business stakeholders to improve data processes and tooling.
• Actively strengthening ING's fact-based culture by sharing knowledge, seeking feedback and continuously improving ways of working.

• A Master's degree in Analytics, Mathematics, Econometrics or a comparable quantitative field.
• 4+ years of relevant experience.
• Relevant experience in analytics, preferably within a large organization, digital marketing environment, or financial services environment.
• Proven experience with SQL.
• Experience with visualization and dashboarding tools such as Cognos or Power BI.
• Experience applying data analysis in digital marketing environments.
• Experience with data analysis on cloud-native solutions.
• Hands-on experience with marketing and analytics platforms such as Braze, Optimizely, Tealium and Amplitude.
• Strong analytical skills and the ability to perform complex analyses with a practical, hands-on mindset.
• Strong stakeholder management and communication skills.
• A broad interest in data, from collection and analysis to experimentation and visualization.
• The ability to translate complex data into clear and actionable business insights.
• Comfort working in an agile environment and continuously learning new techniques.
• Fluency in English
• Будет плюсом: Experience with SAS and/or Python is a plus; Dutch is a strong plus

• 25-28 vacation days depending on contract
• Pension scheme
• 13th month salary
• 8% Holiday payment
• Hybrid working
• Personal growth and challenging work with endless possibilities
• An informal working environment with innovative colleagues