Lead SAP Data Architect: Greenfield Datasphere

MAG; Manchester; Hybrid; GBP 55.000 - 75.000; Vollzeit

Benefits dieser Stelle

Bonus Scheme

10% company contribution pension

25 days holiday plus bank holidays

Free parking

Subsidised public transport

Huge range of company discounts

Free Virtual GP service

Care Concierge service

Two volunteering days per year

Zusammenfassung

慨正橡扯 seeks a Lead Data Analyst to contribute to our Finance Transformation Programme at Manchester Airport. This two-year fixed-term contract focuses on designing and implementing data platforms using SAP Datasphere and Business Data Cloud, ensuring direct reporting and analytics to support informed decision-making.

The successful candidate will engage in building standards for data requirements and collaborate with key stakeholders. Flexible and hybrid working arrangements are available, making this role ideal for candidates seeking a balanced work/life dynamic.

Qualifikationen

• Experience in data flows, replication flows, and semantic modelling within SAP Datasphere.
• Ability to articulate data architecture to stakeholders clearly.
• Familiarity with Data, BI, and Cloud solutions design.

Aufgaben

• Join the Finance Transformation Programme to replace the BW/BPC landscape.
• Develop the standards and documentation for data requirements gathering.
• Drive business intelligence and decision-making through analytics.

Kenntnisse

SAP Datasphere

Data modelling

Data Governance

SAC as a consumption layer

Greenfield platform design

Ausbildung

SAP certification in Datasphere or BW/4HANA

Tools

S/4HANA Finance data structures

Business Data Cloud

Jobbeschreibung

慨正橡扯 seeks a Lead Data Analyst to contribute to our Finance Transformation Programme at Manchester Airport. This two-year fixed-term contract focuses on designing and implementing data platforms using SAP Datasphere and Business Data Cloud, ensuring direct reporting and analytics to support informed decision-making.

The successful candidate will engage in building standards for data requirements and collaborate with key stakeholders. Flexible and hybrid working arrangements are available, making this role ideal for candidates seeking a balanced work/life dynamic.