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