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

Apply Now

Data Analyst

ACS Performance
Newhaven
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

The successful Data Analyst will work in conjunction with the other analysts to extract, collate and audit data for inclusion in various reports and to create, maintain and schedule reports using the Business Intelligence software. Complete monthly reporting Create and maintain reports issued to all departments Assist with software implementations and upgrades Create and maintain spreadsheets recording business performance Complete ONS (Office of National Statistics) surveys Complete Month and Year end routines Involvement in process audits To be successful in this role of Data Analyst we would love to speak to anyone who has experience of: Financial or Manufacturing background Power BI Desktop and Report Builder (this is the central skill set of the role) SQL Database Skills (create views and queries) MS Excel Advanced (including charts, lookup tables, pivot tables, presentation / report formatting skills) Data reconciliation Ability to organise own workload based on priorities and deadlines Ability to work alone and as part of a team ACS are recruiting for a Data Analyst. If you feel that you have the skills and experience required in this advertisement to be a Data Analyst , please submit your CV including an outline of your experience as a Data Analyst . It is always a good idea to include a covering letter outlining your experience as a Data Analyst with your application as this will enhance your chances of selection and improve your prospects of landing the Data Analyst role you desire.

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 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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.