Senior Data Modelling Analyst - Data Modelling & Architecture (Bangkok)

Mission (What We Need)

Brand New Day is implementing a BIRD-aligned semantic layer to standardize data for Finance, Risk, Balance Sheet Management and Regulatory reporting. The foundation is currently being established by an Information architect and our Data engineers.

What will you do as a Senior Data Modelling Analyst - Data Modelling & Architecture? As a Senior Data Modelling Analyst, you turn fragmented and ambiguous business input into a coherent, decision-ready data model and engineering-ready mappings. You take ownership of the logical data model (BIRD-aligned), and ensure consistent definitions, clear lineage, and a scalable structure across domains.

You have the ambition to grow into a hands-on Data Architect. You do more than just documenting requirements; you are shaping them. You challenge inconsistencies, make trade-offs explicit, and drive decisions needed to build a usable and trusted data foundation. You are comfortable working without complete upfront clarity and are able to shape the path forward.

Success in this role means: a complete, maintainable semantic layer and mapping logic that engineers can implement without reinterpretation, and that stakeholders can trust for regulatory reporting.

Your key activities and responsibilities in bullets:

• Run focused workshops with Finance, Risk, and BSM to turn ambiguous requirements into clear definitions and decisions

• Translate business concepts into structured semantic models (entities, attributes, relationships, grain)

• Produce end-to-end mapping logic (source → BIRD → reporting), including transformations, lineage, and edge cases

• Maintain and evolve the logical data model, ensuring consistency across domains and over time

• Challenge unclear or conflicting requirements and drive resolution towards a single agreed definition

• Collaborate with Data Engineers to ensure mappings are feasible and implementation-ready

• Document all outputs in a precise, version-controlled, and reusable format

What you will deliver

• A complete, BIRD-aligned semantic layer tailored to Brand New Day (entities, definitions, relationships)

• Engineering-ready mapping specifications from source systems to semantic layer and onwards to regulatory outputs

• Clear transformation logic, including business rules, aggregations, and handling of edge cases

• End-to-end data lineage (source → semantic → reporting)

• Consistent data definitions, naming standards, and metadata documentation

• Validation and reconciliation logic to ensure correctness and auditability

• Practical guidelines and documentation that enable engineers and future maintainers to extend the model

Success in the first 3 months

• One priority domain fully defined and mapped (source → BIRD → reporting), with stakeholder agreement

• A working version of the semantic model that is consistent, version-controlled, and actively used by engineers

• Mapping specifications that engineers can implement without reinterpretation

• Key ambiguities in Finance and Risk definitions resolved and documented

• An established way of working for workshops, decision-making, and documentation

• Initial trust from stakeholders that the model reflects business reality and supports regulatory requirements

What you will receive from us

• A competitive salary

• A provident fund

• Medical and life insurance coverage

• Fourteen days of paid leave, excluding Thai public holidays

• Weekly lunch and sport activities

• Room to develop yourself, including training budget and autonomy to improve how we work

• A high-ownership role in a fintech, where banking and payments are mission-critical

• Close collaboration with data, engineering and business teams across Bangkok and Amsterdam

• A Bangkok-based role with structured travel to Amsterdam for alignment and team connection

• Compensation and local benefits to be discussed

Requirements

Who are you?

You are a structured, analytical thinker who brings clarity to complex questions. You thrive in environments where precision matters, and you actively shape requirements, challenge inconsistencies, and drive toward clear outcomes. You prefer meaningful work—creating models and mappings others can build on and trust. Collaborative but with strong ownership, you focus on quality, consistency, and building data foundations that are practical, scalable, and actually used.

You are a structured, decision-oriented thinker who brings clarity to complex questions. You enjoy working in environments where precision matters. You take ownership of requirements, challenge inconsistencies, and translate ambiguity into clear, practical outcomes. You enjoy building models and mappings that others can rely on. You collaborate easily, but you also take responsibility for the quality and usefulness of what you deliver.

Must-have qualities:

• Strong hands-on experience in data modelling and data mapping within a regulated (preferably banking) environment (minimum 6 years)

• The ability to turn ambiguous requirements into precise, testable definitions and mappings

• Proven experience with semantic modelling, data lineage, and metadata management

• Ownership mindset: drives decisions and maintains consistency of the logical data model

• Strong communication skills with Finance and Risk stakeholders; able to challenge and align

• Sufficient SQL skills to validate data and mappings independently

• Experience working across business and engineering teams, producing implementation-ready specifications

• Familiarity with regulatory data models (e.g., BIRD, FINREP, COREP, AnaCredit)

Nice-to-have qualities:

• Experience with medallion architectures (Bronze / Silver / Gold)

• Experience with Databricks, dbt, or similar modern data platforms

• Experience with data modelling tools and version-controlled documentation (e.g., Git, Collibra, Erwin)

• Exposure to data architecture concepts and interest in growing into a data architect role

• Experience in smaller or scaling organisations where structure needs to be built pragmatically

And one more thing: research shows that women and members of underrepresented groups often only apply when they meet 100% of the requirements. Does this sound familiar? If so, we encourage you to apply anyway. We look forward to meeting you! Check out our diversity policy here.