Data & Modelling Migration Specialist

Kiwibank; Wellington; Sur place; NZD 110 000 - 170 000; Plein temps

Résumé du poste

Kiwibank is seeking a Data & Modelling Migration Analyst to help move data sources into a trusted common data model that is accurate, well-governed, and fit-for-purpose. You will gather requirements, test data and business logic, and shape robust data foundations supporting risk, finance, and treasury decisions.

You will translate business and regulatory needs into practical data requirements, design decisions, and delivery-ready outputs.

Qualifications

• Experience gathering data requirements and translating into data models.
• Experience with banking data, balance sheet data, customer and account structures.
• Ability to interpret business rules and translate into data specifications.
• Experience testing data and validating data lineage and quality.

Responsabilités

• Gathering, analysing, and defining data and modelling requirements.
• Mapping current-state data sources, feeds, tables, extracts, code, repositories, and reporting processes.
• Assessing existing data sources, processes, logic, and repositories to inform the common data model.
• Interrogating SAS, SQL, and other relevant code to understand current-state logic.
• Supporting testing and validation of data, logic, transformations, reconciliations, and model outputs.
• Maintaining documentation, data lineage, dictionaries, decision records, and traceability.

Connaissances

Data analysis

Data modelling

Data governance

Requirements gathering

Critical thinking

Communication

Formation

Bachelor's degree in data/IT or equivalent

Outils

SQL

SAS

Python

ETL tools

Description du poste

Kiwibank is seeking a Data & Modelling Migration Analyst to help move data sources into a trusted common data model that is accurate, well-governed, and fit-for-purpose. You will gather requirements, test data and business logic, and shape robust data foundations supporting risk, finance, and treasury decisions.

You will translate business and regulatory needs into practical data requirements, design decisions, and delivery-ready outputs.