FP&A Analyst: Forecasting, Dashboards & Insights (Hybrid)

Morgan McKinley; Castleknock; Hybrid; EUR 60,000 - 85,000; Full time

Job summary

Morgan McKinley is partnering with a not-for-profit client in Dublin West to recruit an experienced FP&A Analyst. You will build and maintain financial models, produce management reporting and forecasts, and support cash flow and treasury activities.

The role requires 5–8 years in FP&A or related finance fields, strong BI skills (Power BI/Tableau), and a commercial mindset to translate data into insights.

Qualifications

• Degree in Finance, Accounting, Economics, Mathematics or related field.
• Professional accounting qualification (ACCA/CIMA/ACA) or progress towards one preferred.
• 5–8 years FP&A, financial analysis, corporate finance or treasury experience.

Responsibilities

• Build and maintain detailed financial models for forecasting, budgeting and scenario analyses.
• Produce monthly/quarterly management reporting, KPI dashboards, and board packs.
• Prepare rolling forecasts and run scenario analyses to inform decisions.
• Support cash flow forecasting and short-term liquidity planning with Finance.
• Reconcile model outputs with accounting records and ensure controls.
• Automate reporting and model processes using Excel and BI tools.
• Collaborate with BI/IT to ensure data quality and embed analytics.

Skills

Financial modelling

Forecasting & budgeting

Power BI

Tableau

Dashboards & automated reports

ERP/GL systems

Excel

BI collaboration

Education

Finance/Accounting/ Economics degree

ACCA/CIMA/ACA progression

Tools

Power BI

Tableau

Excel

ERP/GL systems

Job description

Morgan McKinley is partnering with a not-for-profit client in Dublin West to recruit an experienced FP&A Analyst. You will build and maintain financial models, produce management reporting and forecasts, and support cash flow and treasury activities.

The role requires 5–8 years in FP&A or related finance fields, strong BI skills (Power BI/Tableau), and a commercial mindset to translate data into insights.