Strategic FP&A Analyst for Global Tech Growth

Marks Sattin; England; On-site; GBP 60,000 - 90,000; Full time

Job summary

Marks Sattin is supporting a global technology organisation with a high-impact FP&A role. The position focuses on group-level reporting, forecasting and commercial insight during a transformation period, with close collaboration to senior stakeholders to shape financial processes and improve data quality.

You will partner with commercial and operational teams, drive consistency across multiple systems, and deliver timely, reliable outputs while embracing evolving processes and ad-hoc analysis as

Qualifications

• ACA/ACCA/CIMA qualified or equivalent.
• Strong analytical and financial modelling skills.
• Advanced Excel skills and data visualisation tools (Power BI advantageous).
• Confident communicator able to work with senior stakeholders.
• Experience with financial systems (Oracle, VENA or similar) beneficial.
• Thrives in a fast-paced, evolving environment.

Responsibilities

• Monthly reporting and management accounts preparation.
• Variance analysis with insights into performance drivers.
• Budgeting and forecasting across P&L, balance sheet and cashflow.
• Business partnering with commercial and operational teams.
• Data reconciliation across multiple systems and sources.
• Process improvement to enhance reporting accuracy.
• Support for evolving systems while delivering reliable outputs.
• Ad-hoc analysis and project support as required.

Skills

Analytical skills

Financial modelling

Advanced Excel

Stakeholder communication

Education

ACA/ACCA/CIMA or equivalent

Tools

Power BI

Oracle

VENA

Job description

Marks Sattin is supporting a global technology organisation with a high-impact FP&A role. The position focuses on group-level reporting, forecasting and commercial insight during a transformation period, with close collaboration to senior stakeholders to shape financial processes and improve data quality.

You will partner with commercial and operational teams, drive consistency across multiple systems, and deliver timely, reliable outputs while embracing evolving processes and ad-hoc analysis as