FP&A Senior Analyst (BI oriented)

What You'll Work On

Financial Data Architecture & Business reporting automations

• Own, maintain, and continuously improve our suite of financial models — including the long-term financial plan and automated rolling forecast — with an eye toward further automation
• Design, build, and maintain business dashboards, KPIs, and executive reporting
• Proactively identify gaps and opportunities in reporting — bring ideas forward rather than waiting for instructions, especially around automation and visualization
• Build new financial models from scratch when strategic priorities demand it (e.g., a merit-based compensation strategy model)
• Contribute as a data analyst to process and systems improvements beyond finance — e.g., support the rollout of a new HR database (owned by HR) by structuring the underlying data and setting up HR data reporting on top of it
• Leverage AI tools (incl. Claude) to streamline financial analysis and automate reporting; comfortable navigating ERP systems (e.g. Business Central and BI tools (Power BI) alongside Excel

Mindset & Approach

• Continuous Improvement — spotting bottlenecks and driving automation to make processes faster and more reliable
• Accountability — full ownership of the accuracy and completeness of everything that leaves your desk
• Agility — comfortable operating in a fast-moving environment where not everything is defined yet, energised rather than overwhelmed by ambiguity
• Collaboration — coordinates smoothly with teams outside finance on data and systems work, translating finance needs into terms other teams can act on, and vice versa
• Curiosity — digging beneath the surface of the numbers, understanding how the business actually works until the "why" is clear
• 
  

What We're Looking For

Must-Have

• 5+ years of experience in financial controlling, FP&A, Financial Analytics or Business Intelligence in a multi-entity or international environment
• Advanced Excel skills and SQL
• Active user of AI tools (Claude, ChatGPT, or similar) in your daily work — or a demonstrable passion and ability to learn fast
• Strong financial modelling skills (3-statement models, scenario analysis) — you build models, not just consume them
• Solid understanding of accounting, financial statements, budgeting and forecasting
• Proficiency in English
• 
  

Nice-to-Have

• Knowledge of data warehousing concepts and cloud platforms (Azure/Fabric)
• Experience with SaaS metrics (CAC, Rule of 40, LTV, ARR, expansion/contraction cohorts) is a strong advantage — though if you're new to them, we're happy to walk you through how we work with them 
• Experience implementing AI-powered analytics, forecasting, or automation.