Hybrid FP&A Analyst: Forecasts, Insights & Growth

Capgemini; Kraków; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Private medical care (Medicover)

Sports card

Hybrid work model

Training tracks on NEXT platform

Job summary

Capgemini is seeking an FP&A Analyst to join our financial operations team. You will deliver monthly reporting, forecasting, and variance analysis, partnering with stakeholders to drive data‑driven decisions and strategic insights.

This highly visible role demands accuracy, agility, and clear communication with senior leaders. The ideal candidate has 2–3 years in finance or accounting, a Finance or Economics degree, SAP experience, and advanced Excel skills.

Qualifications

• 2–3 years in accounting, reporting, or finance roles.
• Degree in Finance, Accounting, Economics supported by relevant certifications.
• Good command of English, both spoken and written.
• Experience working with SAP and advanced Excel‑based financial models.
• Strong analytical mindset with ability to interpret financial results for senior stakeholders.
• Collaborative approach across organization to resolve issues.
• Nice to have: FMCG/CPG exposure; BI tools like Power BI/Tableau; GAAP training.

Responsibilities

• Manage monthly reporting cycles and forecasting submissions (P&L, Cash Flow, Capex).
• Prepare monthly performance reviews with variance analyses.
• Deliver ad hoc financial insights and scenario modelling for finance stakeholders.
• Develop and maintain rolling forecasts for current year and long‑term plans.
• Support annual budgeting and KPI tracking.
• Collaborate with FP&A Manager on planning activities.
• Share best practices and improve reporting efficiency and automation.

Skills

Financial analysis

Excel modeling

SAP

Communication with stakeholders

Team collaboration

Education

Finance/Economics degree

Tools

SAP

Power BI

Tableau

Job description

Capgemini is seeking an FP&A Analyst to join our financial operations team. You will deliver monthly reporting, forecasting, and variance analysis, partnering with stakeholders to drive data‑driven decisions and strategic insights.

This highly visible role demands accuracy, agility, and clear communication with senior leaders. The ideal candidate has 2–3 years in finance or accounting, a Finance or Economics degree, SAP experience, and advanced Excel skills.