FP&A Data Analyst

Are you passionate about turning complex financial data into reliable, scalable analytics solutions that empower better decision-making? Then join our mission to pioneer smarter water solutions that reduce energy use and improve lives.

As our new Financial Planning & Analysis Data Analyst, you'll be building and owning end-to-end data solutions for Financial Planning & Analysis that translate complex business requirements into trusted, automated, and reusable data products. You'll be part of a diverse, supportive and inclusive culture, that celebrates our differences and puts people first by fostering growth, well-being, and a sense of belonging.

As a key part of the Group FP&A team, you'll create impact by delivering accurate, scalable Finance data solutions and driving automation that enables faster, more confident decision-making across Grundfos.

Your main responsibilities include:

• Design and deliver reliable data models, transformations, and pipelines using SQL and Python that Finance stakeholders can confidently use for reporting, planning, and analysis
• Translate complex FP&A business questions into effective analytical outputs, bridging the gap between Finance stakeholders and technical teams
• Proactively identify and resolve data quality, performance, and process issues, ensuring accuracy, traceability, and data lineage across Finance data products
• Automate data preparation, validation, and reconciliation processes using Python, AI, and modern engineering practices to drive measurable efficiency gains
• Collaborate across Group FP&A, Divisional Finance, IT, and digital teams to ensure alignment on data standards, policies, and continuous improvement initiatives

Above all, you're an analytically rigorous problem solver who combines strong SQL and Python skills with genuine curiosity about Finance, takes full ownership of deliverables from requirement to production, and communicates effectively with both business and technical audiences. We'd also imagine that you are/have:

• Bachelor's or Master's degree in Finance, Data Analytics, Computer Science, or equivalent work experience
• 3+ years of relevant experience in finance data analytics, FP&A reporting, or data engineering
• Strong SQL skills including complex joins, transformations, aggregations, and data modeling
• Practical Python experience for data processing, automation, and validation

It's a plus if you also:

• Hands-on experience with SAP Datasphere, SAP Analytics Cloud (SAC), Snowflake, or SAP S/4HANA Finance processes
• Experience applying AI or machine learning techniques to financial data workflows
• Familiarity with enterprise-scale data governance and data quality frameworks

Day to day, you can look forward to:

• A working environment built around your needs, with flexible hours, hybrid opportunities and parental support.
• Annual bonuses, health insurance, retirement benefit and a strong focus on well-being activities.
• Three days' additional paid leave for volunteering.
• On-demand training and structured development programmes to support your growth.

Valuing our differences helps us see possibilities where others can't. We therefore welcome and encourage applications from all abilities, experiences, and backgrounds. As part of our commitment to a safe and compliant hiring process, final candidates may be required to undergo a background check, subject to applicable local laws and regulations.

Join Grundfos, apply today!