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

Apply Now

Data Analyst

Pertemps
Tamworth
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

We have a permanent opportunity to work or well established and well known client in Tamworth for a Data Analyst reporting into our Finance Director. The role is working Monday to Friday at our amazing office, you will also work across our other sites . You’ll be fundamental to leveraging data to enhance our visitors' experience, optimize operations, and support strategic decision-making. This position requires a balance of advanced technical skills, the ability to conduct in-depth analyses, and the capacity to communicate clear and impactful results. As an employee you will enjoy extensive benefits, full support in your role and you will be joining a fantastic business as we embark on the next chapter of our journey Your responsibilities as a Data Analyst will include but not be limited to; - Maintaining existing reports and dashboards - Analysing needs and obtaining validation from user teams - To determine project plans and appropriate resources - Collecting, preparation, and analysing data - Ensuring ongoing delivered solutions and data quality - Working in collaboration with our holding company Lopping’s Data Analyst What’s in it for you as our Data Analyst? - You will be working a 40-hour week generally Monday to Friday with some flexibility required - Fun benefits to be disclosed at Interview stage - 30 days holiday inclusive of Bank Holidays - Wellness program Key Skills as a Data Analyst - Degree in statistics, computer science, mathematics, or a related - Previous experience of 5 to 10 years as a Data Analyst and/or Data - Proficiency in data analysis tools such as SQL, Excel, R, or - Strong problem-solving and critical thinking - Knowledge of PowerBI would be Key Attributes as a Data Analyst - Team Spirit: Work closely with various teams within the group to solve problems and improve - Intellectual Curiosity: Be passionate about continuous learning, stay updated with industry trends, and be open to new methods and technologies. - Communication: Ability to explain technical concepts clearly and concisely to non-experts and to work in partnership with colleagues with diverse skills. - Results-Oriented: Be goal-focused and capable of transforming data into concrete actions to improve our amusement

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.