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Global Finance Data Owner at abra
Leipzig, Saxony, Germany -
Full Time

Start Date

Immediate

Expiry Date

28 Feb, 26

Salary

0.0

Posted On

30 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Financial Data Architecture, BI Tools, SQL, Data Governance, Data Warehouse, Change Management, Risk Mitigation, Data Visualization, Business Design, Financial Business Processes, SAP Systems, English Fluency, Business Analysis, System Requirements

Industry

Internet Marketplace Platforms

Description
abra is seeking for a Global Finance Data Owner. We are looking for a skilled Global Finance Data Owner to manage and support BI tools, SQL databases, and the company’s data warehouse, ensuring data governance and reliable financial data. This role requires expertise in financial data architecture, BI tools, SQL, and experience translating business needs into system requirements. A full-time, on-site position, based in Central Israel. Key Responsibilities: Manage BI and data visualization tools, ensuring data reliability and compliance with governance policies. Lead business aspects of Data Warehouse transition projects, including timelines, change management, and business design. Collaborate with internal IT teams and external technical support. Collect and analyze global financial business needs; manage change control and risk mitigation. Requirements Economics or Information systems degree – must. Experience with data projects in the financial area (3-5 years) – must. Understanding and familiar with financial business processes – must. Experienced with tools such as SQL DB, BI – must. Experience with SAP systems such as S4H (CO, FI, PS), BPC, SBO, PAPM, MDG, Data Sphere – an advantage Fluent in English Capability to analyze the business need and convert it to system requirements.
Responsibilities
The Global Finance Data Owner will manage BI and data visualization tools, ensuring data reliability and compliance with governance policies. They will lead business aspects of Data Warehouse transition projects and collaborate with internal IT teams and external technical support.