Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Finance Data Analyst

Oulton, Suffolk
4 months ago
Applications closed

Related Jobs

View all jobs

Finance Data Analyst

Finance Data Analyst

Finance Data Analyst - Fareham

Finance Data Analyst - Fareham

Finance Data Analyst - Fareham

Finance Data Analyst

Job Title: Finance Data Analyst

Location: Lowestoft with hybrid working

Salary: c£50,000

We're working with a growing organisation based in Lowestoft that is seeking a sharp, detail-driven Finance Data Analyst to join their team. In this role, you'll play a key part in transforming data into insight, supporting smarter decisions across the business and helping to drive strategic financial performance.

What You'll Be Doing

Analysing financial and operational data to identify trends, inform forecasting, and influence decision-making
Preparing cyclical and ad hoc reports with clear recommendations for improvement
Building and maintaining robust financial models to assess different business scenarios
Collaborating with various departments to deliver data-driven insights and support performance improvements
Conducting profitability and pricing analysis as required
Supporting effective governance, risk management, and compliance through accurate reporting
Contributing to continuous improvements in data processes and analysis techniques
What You'll Bring

Minimum 2 years' experience in data analysis or a related finance role
Advanced Excel skills and experience with financial modelling or business intelligence tools
A qualification in Finance, Accounting, Economics or a related field (preferred but not essential)
Exceptional attention to detail and strong analytical thinking
Excellent communication skills and the ability to present data clearly to non-financial stakeholders
A proactive, problem-solving mindset with the ability to challenge the status quo constructively
Previous experience in the travel industry is a bonus but not essential
Why Apply?

Be part of a collaborative and supportive team environment
Play a key role in shaping data-led decisions across a dynamic organisation
Opportunities for professional development and exposure to senior leadership
Flexible working hours within a 37.5-hour work week
To apply, please send your CV to (url removed). For a confidential conversation about the role, get in touch today

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.