Senior Data Modelling Analyst — Hybrid, Regulatory Data Layer

Brand New Day; Amsterdam; Hybrid; EUR 83,700 - 106,020; Full time

Benefits offered by this job

Salary range 7,500–9,500 EUR (monthly)

Pension accrual

25 vacation days

Remote work 2 days/wk + 1 week remote/

Training budget €1,000/year

€25 monthly benefit budget

Weekly catered lunch

Job summary

Brand New Day is seeking a Senior Data Modelling Analyst to bring structure to complexity across Finance, Risk and regulatory reporting. You will translate ambiguous requirements into a coherent BIRD-based data model and engineering-ready mappings, owning the logical data model and ensuring scalable, traceable definitions.

You will collaborate with business analysts, stakeholders and data engineers, driving decisions and shaping the path forward toward a hands-on Data Architect role.

Qualifications

• Fluency in English with seven+ years in banking or financial services data roles.
• Proven ability to translate business requirements into precise, testable data definitions.
• Experience delivering BCBS 239-compliant data management capabilities and regulatory reporting requirements.
• Ability to produce implementation-ready mappings and maintain clear data lineage.

Responsibilities

• Translate business input into a coherent, BIRD-based logical model across Finance, Risk, BSM and regulatory reporting.
• Own the logical data model ensuring consistency, maintainability and scalability.
• Produce engineering-ready mapping logic from source systems to the data warehouse and reporting outputs.
• Establish end-to-end data lineage, validation and reconciliation logic for auditability.
• Document models, mappings and metadata with version-controlled, reusable artifacts.

Skills

SQL

Semantic modelling

Data lineage

Metadata management

Stakeholder management

Regulatory reporting

Implementation-ready specs

Tools

Databricks

Azure

dbt

Git

Collibra

Confluence

Job description

Brand New Day is seeking a Senior Data Modelling Analyst to bring structure to complexity across Finance, Risk and regulatory reporting. You will translate ambiguous requirements into a coherent BIRD-based data model and engineering-ready mappings, owning the logical data model and ensuring scalable, traceable definitions.

You will collaborate with business analysts, stakeholders and data engineers, driving decisions and shaping the path forward toward a hands-on Data Architect role.