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

Apply Now

Finance Data Analyst

Oulton, Suffolk
7 months ago
Applications closed

Related Jobs

View all jobs

Finance Data Analyst — Digital Transformation (Legal)

Finance Data Analyst — Digital Transformation (Legal)

Finance Data Analyst & Modeler (Graduate)

Senior Finance & Data Analyst (12-Month FTC)

Lead Finance Data Analyst (12 month FTC)

Lead Finance Data Analyst – Drive Finance Transformation

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.