Accounts Assistant

Stanford Common
3 weeks ago
Create job alert

A thriving SME in the Guildford area is looking to add an ambitious, motivated Accounts Assistant to their growing finance team.  The role reports directly into the Financial Director, an inspirational and supportive leader who treats her staff with the respect and recognition they deserve.

Your remit will be very broad, encompassing elements of transactional accounting such as purchase ledger, assisting with the preparation of monthly management accounts, and some general office/ administrative duties.

This is a fantastic opportunity to become part of a stable, successful business with a friendly, inclusive culture, which invests in and develops its employees to ensure their long-term career aspirations are achieved.

What will the Accounts Assistant role involve?

Processing Invoices: Ensure all supplier invoices and expenses are processed accurately and in a timely manner.
Accounts Payable and Receivable: Handle both AP and AR functions, including follow-up on outstanding invoices and maintaining accurate records.
Bank Reconciliations: Perform regular reconciliations of bank statements, ensuring data integrity and accuracy.
Assisting with Month-End: Support the finance team in preparing month-end reports and balance sheets.
Supporting Budget Preparation: Assist with budget preparation, monitoring expenses, and identifying cost-saving opportunities.
General office/administrative duties.
Suitable Candidate for the Accounts Assistant vacancy:

Background in transactional finance including purchase ledger, double entry, nominal codes and journal posting.
First rate interpersonal, communication and relationship building skills, with excellent spoken and written English.
Positive, proactive, ‘can do’ attitude, well organised and willing to assist with whatever is required.
Knowledge of at least one major ERP system (ideally SAP) plus intermediate Excel (formulae and lookups).
AAT/ACCA/CIMA studier and/or degree in Accountancy & Finance (desirable).
Additional benefits and information for the role of Accounts Assistant:

Hybrid model with 2 days working from home (after initial training/onboarding period).
Study support for AAT/ACCA/CIMA.
Comprehensive healthcare package, including dental and optical.
Generous employer pension contribution.
25 days annual leave.
Free onsite parking.
CMA Recruitment Group is acting as a recruitment agency in relation to this role. CMA complies with all relevant UK legislation and doesn’t discriminate on any protected characteristics. By completing the application process, you agree to the terms outlined in our Privacy Notice and that CMA may contact you in connection with your application in relation to CMA providing you with work finding services. Our Privacy Notice can be viewed under the privacy tab on our website. CMA is currently receiving a high volume of applications.  Whilst we ensure all applications are considered, regrettably, it may not be possible to respond individually to all applications received

Related Jobs

View all jobs

Credit Controller

Finance Assistant

Assistant Management Accountant

Yardi Systems Administration Assistant Manager

Bookkeeper

Litigation Handler

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.