National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Finance Data Analyst

Page Personnel
Buckingham
4 days ago
Create job alert
Long term contract Support

About Our Client

This not for profit and charities organisation prides itself on fostering a positive and collaborative working environment. It is a medium-sized organisation dedicated to delivering impactful results and supporting its community.

Job Description

Quarterly billing cycles: data extraction, validation, and import file preparation. Testing and rolling out sponsorship automation in the internal system. System administration and collaboration with the billing team. Supporting funds processing. Contributing to a system "health check" and implementing improvements. Analyse financial data to support decision-making and strategy development. Ensure data integrity and maintain financial databases. Collaborate with the Accounting & Finance team to streamline processes. Provide ad hoc financial analysis as required by management.

The Successful Applicant

A successful Finance Data Analyst should have:

2-3 years experience in a finance data analyst role. Strong Excel skills; no need for SQL or database expertise. Experience preparing import files and working with finance data. Strong numerical and analytical skills with attention to detail. Familiarity with financial reporting standards and practices. The ability to manage multiple tasks and work under pressure. Excellent communication skills to convey financial insights effectively.

What's on Offer

A salary range of £3000 to £35000 per annum, depending on experience. A fixed-term contract with potential for professional development opportunities. A supportive and inclusive working environment

Related Jobs

View all jobs

Finance Data Analyst

Finance Data Analyst

Finance Data Analyst (3 Days Left)...

Finance Data Analyst

Finance Data Analyst

Finance Data Analyst

National AI Awards 2025

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 Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.