Meta Data & Data Modelling Analyst IV @ING Hubs Romania

Discover ING Hubs Romania

ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 1700 high-performing engineers, risk, and operations professionals.

We started out in 2015 as ING’s software development hub – a distinct entity from ING Bank Romania – then steadily expanded our range to include more services and competencies.

Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca.

Our tech capabilities remain the core of our business, with more than 1500 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products.

We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.

For us, impact isn't a perk. It's the driver of our work.

We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?

The Mission

In your role you will support the ING Data Management organization in achieving a well- harmonized meta data model which reflects business data needs by creating, maintaining, using and governing meta data structures. You will support business users in translating their business requirements into data requirements and translating these data requirements into data structures to be used by data engineers.

Your day to day

We embrace a hybrid way of working eighter from the comfort of your home or from the office buildings in Bucharest. As a Meta Data & Data Modelling Analyst IV, you will:

• Document "as is" and "to be" processes and describe the changes required to migrate to the "to be" capability to record accurately the change required
• Elicit complex business requirements using a variety of methods such as interviews, document analysis, workshops, and workflow analysis to express the requirements in terms of target user roles and goals
• May support internal customers or help senior colleagues manage internal client relationships.
• Make recommendations to improve data systems and platforms, contributing to the continuous improvement and refinement of data strategy.
• Oversee data collection mechanisms and how they fit into data architecture, partnering with internal and external stakeholders to ensure quality and accuracy.
• Manage basic aspects of the data management system with guidance from senior colleagues. This includes being responsible for developing or operating basic elements of the data management systems to deliver prescribed outcomes
• Approve database specifications, ensuring all agreed standards and protocols are followed and data integrity is preserved.
• Create/manage architecture storyboards/viewpoints that articulate business requirements.
• Explore and develop a detailed understanding of external developments or emerging issues and contribute to the evaluation of their potential impact on, or usefulness to, the organization
• Maintain and renew a deep knowledge and understanding of the organization's policies and procedures and of relevant regulatory codes and codes of conduct, and ensure your own work adheres to required standards. OR identify, within the team, patterns of non-compliance with the organization's policies and procedures, and with relevant regulatory codes and codes of conduct, taking appropriate action to report and resolve these and escalating issues as appropriate.
• Plan and deliver stakeholder engagement activities to develop effective project working relationships and to ensure that stakeholder needs and concerns are identified and met.
• Analyze specific problems and issues to find the best solutions. Solutions could be technical or professional in nature.

What you’ll bring to the team

• ability to use SQL for medium complexity queries
• experience working with databases and with data warehouse
• experience as technical business analysis in IT projects
• experience in requirements gathering and writing technical and functional specifications
• hands-on experience with data quality, data lineage, data security, data privacy, data lifecycle management, data issue remediation and other data-governance practices
• experience with banking products, processes, and services
• experience with Agile methodologies
• knowledge of banking regulatory requirements

If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab).