The Financial Analyst role will support a data transformation project that aims to rethink the way the Power Generation Division performs financial forecasting, budgeting, and reporting.
Responsibilities:
- Ensure Data Integration & Governance: Partner with IT and data teams to support integrations between SAC and SAP S/4HANA, BW, or other source systems, ensuring data accuracy, consistency, and proper model governance
- Support Development of Forecasting and Planning Models: Contribute to the design and validation of driver-based forecasting models and planning structures within SAC by supplying financial logic, operational assumptions, and performance metrics
- Facilitate Cross-Functional Communication and User Adoption: Act as a liaison between Finance, Operations, IT, and the SAC development team to support user acceptance testing (UAT), document requirements, and change management efforts
- Leverage AI to Enhance Financial Analysis and Process Efficiency: Utilize artificial intelligence tools to streamline financial analysis, automate routine reporting tasks, enhance forecasting insights, and improve overall productivity, while applying sound financial judgment and governance standards
Requirements
- A strong candidate will have knowledge in financial management, financial modeling, SAP, and SAC; Additionally, we are seeking individuals that leverage AI in all daily work
- SAP & Enterprise Systems Knowledge: Working knowledge of SAP environments (e.g., S/4HANA, BW, or related modules) with an understanding of data structures, financial postings, and integration across systems
- Advanced Financial Modeling Capabilities: Demonstrated ability to build, maintain, and validate driver-based financial models; strong analytical skills with the ability to translate operational inputs into financial outcomes
- SAP Analytics Cloud (SAC) Proficiency: Experience supporting SAC planning and reporting solutions, including familiarity with planning models, data actions, workflows, version management, and story functionality
- AI-Enabled Work Practices: Demonstrated ability to leverage AI tools to enhance productivity, improve reporting efficiency, and generate data-driven insights; Ability to critically evaluate AI outputs and apply professional judgment in financial decision-making
- Process Improvement & Transformation Mindset: Experience participating in financial system implementations or process transformation initiatives, with a focus on standardization, automation, and continuous improvement
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