Remote-Eligible Master Data Finance Analyst

Siemens Energy; Amadora; Remote; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Meal allowance

Health insurance

Remote work within country

Pontes days off

Birthday off

Job summary

Siemens Energy is hiring for a finance transformation role focused on Subsidiary Management and master data governance. You will collaborate with IT and finance teams to design data, processes, and system landscapes that enable transparent reporting and efficient closing across the organization.

The role emphasizes implementing central shareholder controlling instruments, improving data quality, and driving process standardization in a global setting, with opportunities to influence end-to-end

Qualifications

• Degree in business administration or industrial engineering.
• Experience with finance data or applications is preferred.
• Strong analytical and data-driven mindset.

Responsibilities

• Shape global governance and policies for Siemens Energy Subsidiary Management across processes, systems, and data.
• Prepare the list of shareholdings to create transparency across the global participation landscape.
• Ensure complete and timely provisioning of master data to local ERP and central group closing systems.
• Strengthen cross-functional collaboration and support process compliance across the organization.
• Drive the development of central shareholder controlling instruments and reporting solutions.

Skills

Excel

Power BI

Power Automate

Snowflake

MS Office

Communication

International collaboration

Education

Business Administration or Industrial Engineering degree

Tools

Power BI

Snowflake

Job description

Siemens Energy is hiring for a finance transformation role focused on Subsidiary Management and master data governance. You will collaborate with IT and finance teams to design data, processes, and system landscapes that enable transparent reporting and efficient closing across the organization.

The role emphasizes implementing central shareholder controlling instruments, improving data quality, and driving process standardization in a global setting, with opportunities to influence end-to-end