What are the responsibilities and job description for the Financial Director / Financial Manager position at Spar Information Systems?
Relevant Experience:
- Data analytics & data modeling
- Financial analysis & planning
- Experience working with structured/unstructured data
- Experience with automation and AI tools (CoPilot is a plus)
Job Description
The Financial Director / Financial Manager will support both day to day operations and forward looking forecast updates for the PPB business unit. This role requires partnering with finance colleagues and key business partners to gather, organize, and interpret data to meet reporting and planning needs. The ideal candidate should be able to structure dispersed data, plan effectively with stakeholders, and deliver insightful analysis efficiently. Familiarity with automation and AI tools (such as Microsoft CoPilot) is a strong advantage.
Key Responsibilities
- Work with structured and unstructured data from various systems to produce meaningful summaries that provide clear insights on progress vs. plan.
- Translate analytical findings into recommendations aligned with planning cycles.
- Collaborate cross functionally and globally across businesses and regions.
- Monitor capital and operating spend vs. plan; identify variances, timing risks, and unplanned exposure, and articulate findings clearly.
- Update standard reports (P&L and Balance Sheet) to support company wide reporting and financial planning processes.
Required Technical Skills
- Strong analytical and financial modeling abilities
- Advanced Microsoft Excel skills
- Basic GAAP accounting understanding (P&L, Balance Sheet)
- Proficiency with AI tools, particularly CoPilot, including ability to structure prompts for workflow automation
- Excellent attention to detail
Preferred / Optional Technical Skills
- Understanding of financial planning & analysis (forecasting, budgeting, scenario modeling, strategic planning)
- Ability to provide actionable insights based on financial analysis
- Experience developing dashboards using automated data extraction, transformation, analysis, and summarization