Data Analyst – Central Data Office (Marketing Technology)

Data Analyst – Central Data Office (Marketing Technology)
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.
The team
The Central Data Office within the Martech Area enables scalable, data-driven marketing and analytics capabilities across the organization. The team ensures consistency, reusability and future-proof solutions for digital channels, while strengthening shared data practices and standards across tribes, markets and teams.
You will collaborate with data specialists, marketers, analytics colleagues, product leads and business stakeholders to strengthen ING's data capabilities and support fact-based decision-making across the organization.
Roles and responsibilities
In this role, you will contribute to the development and adoption of scalable data capabilities and ways of working across ING by:
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.
Success factors
We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. In return, we'll back you to develop into an even more awesome version of yourself.
To be successful in this role, you bring:
A Master's degree in Analytics, Mathematics, Econometrics or a comparable quantitative field.
4+ year's relevant experience.
Relevant experience in analytics, preferably within a large organization or financial services environment.
Proven experience with SQL.
Experience with SAS and/or Python is a plus.
Experience with visualization and dashboarding tools such as Cognos or Power BI.
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.
Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.
The benefits of working with us at ING include:
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
About us
Curious about how ING empowers people and businesses to move forward?
Discover what we do and what we can offer you.
Questions?
Please visit our Frequently Asked Questions section to find some answers on questions you might have.
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.