Data Analyst Amsterdam

Banen in Marketing

Amsterdam

Hybrid

EUR 60,000 - 90,000

Full time

4 days ago
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Benefits offered by this job

8% Holiday payment
Personal growth and challenging work
Informal working environment withInnov

Job summary

ING is seeking a Data Analyst within the Central Data Office to help build scalable data practices across the organization. You will support enterprise data capabilities for the Data Analyst community and partner with Product Leads, Martech, Analytics and business stakeholders to translate data into actionable insights.

You will collaborate to improve data processes, maintain playbooks, and contribute to ING’s data-driven culture while thriving in an agile environment and fostering continuous

Qualifications

  • Master's degree in Analytics, Mathematics, Econometrics or comparable quantitative field.
  • 4+ years of relevant experience.
  • Experience in analytics within a large organization or financial services environment.
  • Proven experience with SQL.
  • Experience with SAS and/or Python.
  • Experience with visualization tools such as Cognos or Power BI.
  • Strong stakeholder management and communication skills.
  • Ability to translate complex data into actionable business insights.
  • Comfort working in an agile environment and continuous learning.

Responsibilities

  • 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.

Skills

Analytical mindset
Stakeholder management
Communication skills
Hands-on data thinking

Education

Master's degree in Analytics, Mathematics, Econometrics or comparable quantitative field

Tools

SQL
SAS
Python
Power BI
Cognos

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.

  • 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.

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.
  • 8% Holiday payment
  • Personal growth and challenging work with endless possibilities
  • An informal working environment with innovative colleagues

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