Finance Data Replatforming Analyst

Description:

We are seeking a highly skilled Finance Data Replatforming Analyst to play a key role in the finance data transformation journey. This role will partner with cross-functional teams to enable the successful migration of finance data onto the strategic cloud architecture and subledger platform. The ideal candidate will bring strong analytical capability, a deep understanding of data standards and transformation requirements, and the ability to ensure data is optimised, aligned, and positioned to unlock business value as part of the replatforming initiatives.

Act and execute as delivery partner

• Data replatforming gap, pain points, dependency analysis, stakeholder mapping across the finance data landscape.
• Document data transformation rules as part of data preparation for sub ledger consumption. Ensure same is aligned to where it needs to be provisioned for as part of replatforming objectives in line with medallion architecture outcomes.
• Inform roadmap for source data integration via the agreed cloud pattern into sub ledger across the finance domain. (Products already provisioned for in sub ledger vs. products not on sub ledger).
• Ensure adoption of data standards as part of replatforming to enable strategic data architecture objectives.

Define, Communicate and Execute Data Standards

• Apply standards consistently across all source systems and subledgers to enable the subledger strategy.

Establish Process and Guidelines for Strategic Cloud Architecture

• Position the agreed cloud architecture as the strategic enabler for data integration, harmonisation & transformation. These will include data quality (DQ) consideration | opportunities for AI DQ deployment | insights, data product refactoring as well other data optimisation opportunities. To enable data management principles such as data retention to ensure optimised | cost effective data usage.
• Advance existing data and data products onto the strategic cloud architecture as part of the replatforming initiative. Avoid lift & shift, must consider optimisation in as far as medallion architecture considerations.

Size effort for Replatforming

• Assess and estimate the effort required for migrating existing data repositories and related components to the strategic cloud architecture. Work as a member of cross functional execution.

Prepare for Decommissioning and Migration

• Inform the solution approach and prepare for migration to the cloud.
• Consider replatforming of those on the existing on prem solutions and those that are not on any strategic data provisioning layer.
• Ensure replatforming aligned with the agreed 2026 scope, covering identified repositories and priority components of subledger data. This to ensure commercial value by conducting and successful implementation of those to be agreed by scope as minimum viable product (MVP) for 2026.

Requirements:

• Data replatforming gap, pain points, dependency analysis, stakeholder mapping across the finance data landscape.
• Document data transformation rules as part of data preparation for sub ledger consumption. Ensure same is aligned to where it needs to be provisioned for as part of replatforming objectives in line with medallion architecture outcomes.
• Inform roadmap for source data integration via the agreed cloud pattern into sub ledger across the finance domain. (Products already provisioned for in sub ledger vs. products not on sub ledger).
• Ensure adoption of data standards as part of replatforming to enable strategic data architecture objectives.

• Apply standards consistently across all source systems and subledgers to enable the subledger strategy.

• Position the agreed cloud architecture as the strategic enabler for data integration, harmonisation & transformation. These will include data quality (DQ) consideration | opportunities for AI DQ deployment | insights, data product refactoring as well other data optimisation opportunities. To enable data management principles such as data retention to ensure optimised | cost effective data usage.
• Advance existing data and data products onto the strategic cloud architecture as part of the replatforming initiative. Avoid lift & shift, must consider optimisation in as far as medallion architecture considerations.

• Assess and estimate the effort required for migrating existing data repositories and related components to the strategic cloud architecture. Work as a member of cross functional execution.

• Inform the solution approach and prepare for migration to the cloud.
• Consider replatforming of those on the existing on prem solutions and those that are not on any strategic data provisioning layer.
• Ensure replatforming aligned with the agreed 2026 scope, covering identified repositories and priority components of subledger data. This to ensure commercial value by conducting and successful implementation of those to be agreed by scope as minimum viable product (MVP) for 2026.