Data Analyst Central Data Office Marketing Tech Hybrid

ING Hubs Türkiye; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Pension scheme

13th month salary

Hybrid working

Vacation days 25-28

Job summary

ING is seeking a Data Analyst in the Central Data Office to support scalable data practices across the organization. You will collaborate with Martech, Analytics and business stakeholders to ensure data processes are reusable, well-documented and aligned across tribes, markets and teams.

You will translate data into actionable insights, contribute to data community maturity, and help raise standards through documentation, playbooks and best practices in an agile environment.

Qualifications

• Master's degree in Analytics, Mathematics, Econometrics or similar field.

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 thinking

Stakeholder management

Communication

Agile mindset

Education

Master's degree in Analytics/related field

Tools

SQL

SAS

Python

Power BI

Cognos

Visualization tools

Job description

ING is seeking a Data Analyst in the Central Data Office to support scalable data practices across the organization. You will collaborate with Martech, Analytics and business stakeholders to ensure data processes are reusable, well-documented and aligned across tribes, markets and teams.

You will translate data into actionable insights, contribute to data community maturity, and help raise standards through documentation, playbooks and best practices in an agile environment.