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

Apply Now

Finance Data Analyst

Bury
1 year ago
Applications closed

Related Jobs

View all jobs

Finance Data Analyst

Data Analyst Apprenticeship

Workforce Data Analyst

Workforce Data Analyst

HR Data Analyst

HR Systems and Data Analyst

Well known and growing business based in the Bury area requires a Finance Data Analyst for thier growing finance team.

Reporting to the Head of Finance this is an excellent role for someone who has a background within finance and data manmagement. You will also have strong experience in advanced excel.

Duties of the role will include:

  • Monitoring high volumes of data coming into the business from clients

  • Validating and reconciling data

  • Dealing with queries in connection to the data

  • Working with internal departments in order to resolve issues

  • Looking at consent data management, performance and efficiency and assisting the team with improvements

  • Data cleansing

  • Providing monthly reporting packs for senior management

    The right candidate for this role will have;

  • Advanced excel, including V lookups, Indexing and Pivot Tables

  • Excellent attention to detail

  • VB Skills are an advantage

  • Good communication and written skills

  • A background in finance

    This is an excellent role that will offer you progression and development to the right person

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.