Data Analyst

ING Bank N.V.
Amsterdam, Netherlands
1 day ago
Apply on www.careerjet.nl
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Data Analysis Data Governance Data Sharing IBM Cognos Business Intelligence Python (Programming Language) Power BI SAS (Software) SQL Databases Data Management

Job description

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.

Requirements

  • A Master’s degree in Analytics, Mathematics, Econometrics or a comparable quantitative field.
  • 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.

Benefits & conditions

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. The benefits of working with us at ING include:

  • Salary based on experience and knowledge in GJA 15, 16 or 17 (scale 9, 10 or 11)
  • 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.nl
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:26 min

Speaker introductions and overview of ING bank

Doraly Chezeu Sukem Doraly Chezeu Sukem +1 · World Congress 2024

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

3:18 min

Utilizing AI and public data sharing for urban planning

Christian Wiegand +3 · World Congress 2024

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

1:42 min

Combining technical skills with strong business communication

Lukas Kölbl · LIVE

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

Videos

See all

Related articles

See all