Finance Business Partner

CV-Library
Sudbury, Suffolk
12 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist - Deep Learning Practitioner

Capital One West Bridgford, Nottinghamshire, NG2 6BT, United Kingdom

Lead Data Scientist - Deep Learning Practitioner

Capital One Nottingham, Nottinghamshire, United Kingdom

Lead Data Scientist - Deep Learning Practitioner

Capital One Tower, Greater London, City And County Of the City Of London, United Kingdom

Lead Data Scientist - Deep Learning Practitioner

Capital One Calwich, Staffordshire, United Kingdom

Principal Partner Manager, GSIs

Synthesia London, United Kingdom
Hybrid

Lead Analytics Engineer

SF Partners London, United Kingdom
£400 – £500 pd Hybrid
Posted
13 May 2025 (12 months ago)

Job Title: Finance Business Partner
Location: Sudbury
Contract Type: Full-time
Salary: Competitive + Benefits

Are you a strategic thinker with a passion for driving performance and leading high-performing teams?

We're looking for an experienced Finance Business Partner to join a dynamic leadership team and play a pivotal role in shaping the future of a forward-thinking organisation.

This is a fantastic opportunity for a finance professional who thrives in a collaborative environment, enjoys variety in their role, and has a keen eye for continuous improvement. You'll be the bridge between finance and business operations-translating numbers into actionable insights that fuel growth and innovation.

Key Responsibilities:
• Act as a key contributor to the organisation's strategic direction as part of the Leadership Team.
• Lead, mentor, and develop the finance, payroll, and HR administration teams-building capability and promoting cross-functional collaboration.
• Analyse and present key business intelligence to inform decisions, drive performance, and identify opportunities for efficiency.
• Own the finance annual plan, budget setting, costings, and monthly reporting cycles.
• Provide financial analysis and robust business cases to support commercial initiatives.
• Manage and improve financial disciplines, cost control, and risk management across the organisation.
• Coordinate year-end audit activity and ensure full compliance with statutory and internal reporting requirements.
• As Company Secretary, ensure governance responsibilities are met and maintain all statutory records.
• Oversee payroll, pensions, HR records, and compliance with time & attendance systems.
• Work closely with senior stakeholders and provide strategic financial leadership at all levels.

What We're Looking For:

Essential:
• 7-10 years of finance experience, ideally in a manufacturing or product-based environment.
• At least 5 years' experience in a leadership or managerial finance role.
• Strong analytical skills with a proactive, solutions-focused mindset.
• Advanced knowledge of Excel, ERP systems, and financial modelling.
• Excellent communication skills with the ability to influence at all levels.
• Commercially astute with solid decision-making and problem-solving abilities.

Desirable:
• Degree in Finance, Business Administration, or a professional accounting qualification (e.g. ACCA, CIMA, ACA).
• Experience in payroll and HR administration.
• Industry experience or similar manufacturing environments.

Why Join Us?
You'll be part of an exciting, values-driven organisation where your input matters. They offer a supportive environment that encourages personal development, innovation, and continuous improvement. This is a leadership role with real impact, offering you the platform to drive change and make a difference

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.