National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

EMEA FP&A Manager

Farnborough
3 weeks ago
Create job alert

An exciting new opportunity has arisen for a FP&A Manager to join a company based in Farnborough.

The company is looking for an ambitious, progressive individual looking to lead the FP&A function. Technical knowledge from a practice background is advantageous, but not essential.

This role offers progression, hybrid working arrangements and many other brilliant benefits.

Responsibilities:

Oversee preparation and delivery of recurring financial reports, providing insights into performance trends, key variances, and potential future risks to inform strategic decisions.
Coordinate the corporate planning cycle, ensuring alignment across departments and integrating robust analysis of financial data to support organizational goals.
Conduct in-depth financial reviews in collaboration with accounting teams during period-end closures to ensure data integrity and accuracy.
Support senior finance leadership in analyzing actuals against forecasts and budgets, identifying material deviations and their underlying drivers.
Contribute to the development of multi-year financial projections, aligning strategic initiatives with long-term business objectives.
Identify and evaluate business risks and opportunities, translating insights into actionable recommendations for leadership.
Lead the monitoring and reporting of operational performance metrics through interactive dashboards, enabling cross-functional teams to proactively manage performance.
Analyze external data sets relevant to industry trends and operations, including transportation infrastructure and market activity, to support decision-making.
Generate and deliver commercial analytics, with a focus on identifying revenue trends and customer behavior patterns.
Act as a primary finance partner to leadership, providing analytical support for strategic projects and ad-hoc business case evaluations.
Manage and mentor a team of financial analysts, fostering professional development and high performance within the team.
Operational performance including trend analysis to help with management decision making
Maintain strong relationships with business leaders and departments, including operations and sales
Assist with due diligence research and analysis and other transactional support as needed
Business support for M&A targets and occasional scenario planning and financial modellingRequirements:

Professional Qualification - CIMA/ACCA or similar
Minimum of 5 years work experience in the finance field
Proven track record of building successful relationships with senior stakeholders
Flexibility to occasionally accommodate the working hours of colleagues in other time zones as well as being flexible to the demands of supporting the business
Experience with Oracle accounting system and OneStream reporting suite desirable
Experience with analytical software using AI or machine learning desirableBy applying you will be registered as a candidate with Marc Daniels Specialist Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your personal data

Related Jobs

View all jobs

D&T Sector Technology Lead - I&L

Senior Space Planner

Business Intelligence Manager

Sports Modelling Data Scientist (relocation to Costa Rica)

Senior Data Analyst

Data Analyst

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.