Management Accountant

Chippenham
7 months ago
Applications closed

Related Jobs

View all jobs

Finance Data Transformation Lead

Senior MI & Data Analyst

Senior MI & Data Analyst

Lead Data Engineer

Lead Data Engineer

Business Intelligence (BI) Developer

Artis Accountancy and Finance are pleased to be working with this growing business, who are seeking an experienced and proactive Management Accountant to join their finance team.

Reporting to the Finance Manager, you will play a pivotal role in delivering accurate and timely financial information to support strategic decision-making across the business. You will be responsible for preparing management accounts, budgeting, forecasting, and variance analysis, with a strong focus on driving efficiencies and improving reporting processes.

Key Responsibilities

  • Prepare monthly management accounts with commentary and analysis.
  • Assist with budgeting, forecasting, and cash flow management.
  • Perform variance analysis and provide insights on financial performance.
  • Reconcile balance sheet accounts and ensure data integrity.
  • Support year-end audit and liaise with external auditors.
  • Assist in financial modelling and scenario analysis.
  • Continuously improve financial processes and reporting tools.

    Skills & Experience Required
  • A minimum of 12 months experience in a Management Accounting role.
  • Experience in using accounting software such as Sage 200/50, Xero, QuickBooks, SAP.
  • Advanced Excel skills including pivot tables, VLOOKUPs, and financial modelling.
  • Strong analytical and problem-solving abilities.
  • Excellent attention to detail and organisational skills.
  • Ability to communicate effectively across departments.
  • Any accounting qualifications (e.g., ACCA, CIMA, ACA) are advantageous, however not essential.

    If you are a finance professional looking for a new challenge, we would love to hear from you.

    Artis Recruitment provide specialist recruitment services within HR, Finance, IT, Procurement, Marketing, Customer Contact and Executive Search. By applying to this position, you acknowledge that you have read and accept our Privacy Policy: (url removed) src="(url removed)

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.

Jobs

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.