Data Modeling Analyst

Overview:

The ING Think Forward Strategy aims to create a differentiating customer experience, enabled by simplifying and streamlining our organization, further striving for operational excellence, enhancing the performance culture within our company, and expanding our banking capabilities. Tribe Wholesale Data Management is a central component in the ING Think Forward Strategy. It has been established in the COO Domain to ensure that ING Wholesale Banking has trustable data which is fully fit for the purpose (timely, complete, accurate, adaptable, comprehensive, consistent, and appropriate), facilitated by a state-of-the-art data architecture and IT infrastructure. Tribe Wholesale Data Management is growing its team in the Philippines via ING’s Business Shared Services (IBSS) in Manila. Within the Tribe, the Data Modeling Chapter is responsible for unifying the ingested data from various sources, modeling business concepts, analyzing data and data patterns, gathering, and analyzing requirements from consumers of the data

Next to this, collaboration with other Tribes on topics related to data and data management and design thinking is a key element in the job.

The Tribe works in an Agile Way of Working, which gives great empowerment to all team members sharing a common purpose.

ING is looking to recruit a Data Management - Data Modeling Analyst within the Chapter. The team member will be responsible for the front-to-end analysis of the requirements from the various Regulatory and Business Initiatives. Together with the other members of the Chapter, the Data Management - Data Modeling Analyst investigates the data provided from the sources, analyses, and profiles the data and aligns with the consuming side to map the information into ING’s shared data language and business terms. 

If you are good at:

Collaborating with Business Data Owners, Data Stewards, and Stakeholders to examine and understand their data requirementsRefining the data requirements and translating them to business terms and developing conceptual modelsDelivering agreed principles and quality criteria: ING Esperanto Business terms, Conceptual Data Models, Logical Data Models, data mappings, and other documentation necessary to bring into the global data definition of the entire ING GroupSupporting, coaching, and training colleagues in ING on ING EsperantoMaintaining business terms and definitions, including data quality requirements and metadataSupport defining requirements for Data Quality, Data Lineage, and Data Governance 

If you are:

• Self-starter with a good ability to work in a global team across various locations

Consulting mindset includes an ability to think about Data Management in a way that is abstracted from how business functions currently operate.Result-oriented with an ability to find ways of solving or pre-empting problemsDesign Thinking, which enables a big-picture view into details required for in-depth analysesThe hands-on mentality in a data-driven settingFosters trust and sets expectations that differences are embraced within the TribeIntermediate understanding and experience in Data Management, Data Warehousing, Data modeling technics, Data Architecture, Data Mapping, and Data Profiling with an Agile way of WorkingProven banking & product knowledge. Finance and/or Risk experience enabling understanding of banking products and their attributes (Nice to have)Strong Knowledge of SQLExcellent verbal and written communication skillsA university (Bachelor’s/Master’s) degree

If you’d like to work with:

Data Management ExpertsData ModelersFinancial Experts and StakeholdersActively collaborating within the Data Management space

If you want to:

work in downtown BGC, the country’s economic centerenjoy competitive compensation and allowancesbe part of a diverse, creative, and energized team