Senior Finance Reporting Lead | SAP Analytics & Dashboards

RECRUIT EXPRESS PTE LTD

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

RECRUIT EXPRESS PTE LTD is seeking a senior analytics leader to drive enterprise reporting strategy across SAP Fiori, CDS Views, BW/4HANA, Datasphere, and SAC. You will shape the reporting architecture, governance, and delivery standards to ensure a single source of truth.

You will lead cross-functional teams, partner with business and IT stakeholders, and oversee the development of reusable semantic models, dashboards, and performance improvements, ensuring high-quality analytics.

Responsibilities

  • Lead cross-functional teams and manage senior stakeholders across business and IT to ensure successful delivery of reporting and analytics initiatives.
  • Lead the delivery of operational reports, analytics, and executive dashboards aligned with business needs and enterprise standards.
  • Design and develop reusable CDS Views, BW models, Datasphere semantic models, and trusted business data products to support a single source of truth.
  • Leverage SAP Fiori, embedded analytics, CDS Views, BW/4HANA, SAP Datasphere, and SAC to deliver scalable and high-quality reporting solutions.
  • Establish standardized KPIs, reporting frameworks, report rationalization, and data governance in partnership with business stakeholders.
  • Define the enterprise reporting architecture, strategy, standards, and roadmap across SAP Fiori, CDS Views, BW/4HANA, Datasphere, and SAC.
  • Drive testing, deployment, performance optimization, user training, adoption, and hyper care support to ensure sustainable reporting solutions.

Job description

RECRUIT EXPRESS PTE LTD is seeking a senior analytics leader to drive enterprise reporting strategy across SAP Fiori, CDS Views, BW/4HANA, Datasphere, and SAC. You will shape the reporting architecture, governance, and delivery standards to ensure a single source of truth.

You will lead cross-functional teams, partner with business and IT stakeholders, and oversee the development of reusable semantic models, dashboards, and performance improvements, ensuring high-quality analytics.

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