Management Accountant

Kettering
2 weeks ago
Create job alert

Are you a detail-oriented finance professional seeking an opportunity to showcase your skills in a dynamic environment and progress your career? Look no further! We're currently seeking a dedicated and experienced Management Accountant to join our client's team.

Hours: Monday to Friday, 9am-5pm (flexible start and finish times).

Benefits:

  • Electric Vehicle Car Scheme.

  • Cycle to Work Scheme.

  • Ability to purchase extra 3 days per holiday year.

  • Bupa Health Cash Plan.

  • Summer and Christmas Parties.

  • Monthly Social Lunch.

  • Currently looking at a Discount platform.

  • Currently working on a hybrid working plan.

  • Free on-site parking.

    After 1 years’ service – Bupa Private Health Care

    Responsibilities:

  • To be responsible for the preparation of timely and accurate periodic management reports including profit and loss, balance sheet, performance analysis, cashflow forecast and budget analysis as a minimum.

  • To gather necessary information, both from clients and internally, to ensure that month end is closed accurately and to the client’s expectations.

  • Review the financial data and complete balance sheet reconciliations to check the validity and accuracy of the data.

  • Provide feedback to the team where necessary.

  • Use Business Intelligence Tools to develop user friendly, accurate reporting solutions to meet your client’s needs.

  • To provide support for the development of budgets and forecasts as appropriate to ensure good quality and up to date information is available to clients.

  • To provide financial expertise to other members of the team to support accurate production of financial data.

  • Communicate with clients regarding their business performance, providing them with financial insights and explanation from management accounting packs, cashflow forecast and other business reports.

  • Provide ad hoc reports, data and information to clients to enable them to make sound business decisions.

  • To support the year end process by reviewing the data and providing relevant information to the compliance team and external auditors.

  • To respond promptly to client communications and queries, always ensuring excellent customer service.

  • To build strong client relationships.

  • Take part in the team phone rota.

    Qualifications and requirements:

  • Ability to manage a multi-client environment and potentially conflicting deadlines.

  • Good understanding of accounting processes.

  • Ability to read and interpret profit & loss and balance sheet reports.

  • Good analytical skills along with good attention to detail.

  • Good communication skills.

  • IT literate with advanced Microsoft Excel skills and experience using a variety of accounting software.

  • Must be a team player

Related Jobs

View all jobs

Management Accountant

Senior Management Accountant

Senior Management Accountant

Financial Modelling & Data Analytics Consulting

Accounting Technician

Finance Operations Lead

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.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.