FP&A Analyst

Finatal
Newcastle upon Tyne
11 months ago
Applications closed

FP&A Analyst

Healthcare

Holborn

Hybrid Working

Renumeration - Up to £75,000


GM29456


Finatal is working with a high growth healthcare business who are on the hunt for an FP&A Manager. Achieving c£50mil t/o after being acquired by PE, they are driven towards expanding markets and product offering.


Working directly under a strong PE CFO, this is a broad, value add role and an excellent opportunity to join a fast-pace, successful environment.


The Role:

• Support in driving financial performance through value-added insight in management reporting and analysis through the provision of value-add, quality financial and non-financial information.

• Assist in the preparation of the monthly board pack ensuring an efficient process for collating robust financials and add-value commentaries; developing analysis to provide insight into financial performance.

• Monitor and develop key performance indicators across the group - highlighting trends and identifying causes of unexpected variances specific to a manufacturing business.

• Drive preparation and development of the annual budget, reforecasting process and longer-term strategic plans.

• Prepare business models with financial and operational data, identify trends and recommend growth and operational efficiency opportunities accordingly.

• Assist in the development of systems and processes to improve quality and timeliness of financial reporting including the ongoing impro of Power BI data reporting for key business channels, and Anaplan for budgeting, forecasting and consolidation.

• Evaluate opportunities and analyse data in line with achieving strategic goals and growth plans.

• Support the strategic business initiatives and participate in ad hoc projects as needed.

• Partner with the wider finance and operational teams to provide financial support and guidance.


About You:

• ACA/ACCA/CIMA Qualified Accountant

• Previous FP&A Experience in a manufacturing company – strong experience in forecasting, reporting, P&L management, budgeting and cash flow

• Commercially orientated mind-set

• Financial modelling experience and the ability to handle and manipulate big data

• ACA Qualified (Big4 or GT/BDO/RSM)

• Previous experience in an FP&A role in a PE environment.

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.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.