Finance Analyst – Digital & Automation Forecasting

Siemens Healthineers; Cary (NC); On-site; USD 107,000 - 147,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Paid time off

Job summary

Siemens Healthineers in Cary, NC seeks a Financial Analyst for Digital & Automation (D&A) Customer Service to support reporting, forecasting and analytical initiatives. You will prepare budgets, perform variance analyses and deliver insightful financial guidance to management within a matrix environment.

The role requires IFRS conformance experience and strong skills in Power BI, SAP, and ERP-driven data modeling to improve service performance metrics and reporting packages.

Qualifications

• Bachelor's degree in Accounting, Finance and related area(s).
• 3–5 years in relevant field, balanced against Siemens experience.
• Proficient with ERP systems, data extraction and model building.
• Experience creating dashboards and management reporting.

Responsibilities

• Report, forecast and monitor service performance for D&A Customer Service.
• Prepare budgets, forecasts and variance analyses.
• Maintain monthly/quarterly reports and presentations for Sr. Management.
• Ensure IFRS conformance and provide financial expertise to stakeholders.
• Lead month-end closing activities and revenue recognition efforts.
• Create and maintain P&L analyses, contract bookings and billings.

Skills

Financial analysis

Data visualization

Big picture thinking

Communication with senior management

Education

Bachelor's degree in Accounting or Finance

Tools

SAP

SAP Business Objects

Jedox

Qlik

Power BI

Job description

Siemens Healthineers in Cary, NC seeks a Financial Analyst for Digital & Automation (D&A) Customer Service to support reporting, forecasting and analytical initiatives. You will prepare budgets, perform variance analyses and deliver insightful financial guidance to management within a matrix environment.

The role requires IFRS conformance experience and strong skills in Power BI, SAP, and ERP-driven data modeling to improve service performance metrics and reporting packages.