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

Apply Now

Business Analyst - Data Analytics

Randstad Technologies Recruitment
Peterborough
9 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst - Healthcare, Data, AI

Technical Business Data Analyst

Data Analyst - United Kingdom (London)

Data Analyst (TGM2180) – £26k-£27k

Funds Technology – Data Analyst Manager/ Assistant Manager/ Senior Consultant

Data Analyst Trainee

Join our client who is looking for a confident and proactive Data Analyst with strong Excel and Power BI skills to manage day-to-day data requests and provide valuable business insights.Role: Business Analyst Experience: 2+ yearsLocation: Peterborough (Onsite)Contract: 12 months Start Date: ASAPKey Responsibilities:Analyse spend, headcount, and savings data, identifying trends and insights.Maintain Power BI dashboards and generate reports.Manage stakeholder and supplier records.Support presentation preparation for CFO meetings.Assist with UAT documents and process improvements.Work closely with the manager, playing a key support role in programme analytics.Required Skills:Proven data analytics experience.Strong Excel & Power BI skills.Experience in project management.Ability to work independently and proactively.Strong communication and problem-solving skills. If you're ready to take your skills to the next level and make a difference in a dynamic environment, we want to hear from you! Apply now or send your CV to sharmistha. ghosal @ randstad .co .ukRandstad Technologies is acting as an Employment Business in relation to this vacancy

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.