Management Accountant

Chippenham
9 months ago
Applications closed

Related Jobs

View all jobs

Client Data Governance and Integrity Lead

Client Data Governance And Integrity Lead

Data Architect

BDO Digital Data Architecture and Engineering Senior Manager/Director

Audit Data Analytics Senior Manager

Audit Data Analytics Senior Manager

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

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Careers Jobs

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

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

🍪 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.