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

Apply Now

Data Analyst

PIB Group
Lincoln
10 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

As a Data Analyst at Barbon Insurance Group, you will play a key role in driving data-driven decision-making across our Sales, Marketing, and Referencing functions. Your insights will be essential to shaping our strategies, improving operational efficiency, and driving sales performance. You will work closely with various stakeholders to interpret complex data, produce detailed reports, and visualize trends that support the business in achieving its goals.Collaborate with the Sales, Marketing, and Referencing teams to understand their data needs and develop actionable insights. Work closely with key business areas to identify opportunities for improving sales performance, enhancing customer engagement, and optimizing marketing campaigns. Analyze sales data, customer behavior, and market trends to provide strategic recommendations aimed at increasing revenue and improving conversion rates. Create and maintain PowerBI dashboards to present data in a clear and user-friendly manner for real-time decision-making. Track sales KPIs, analyze performance metrics, and highlight areas for improvement in collaboration with the sales leadership team. Conduct detailed analysis of sales pipelines, forecasting, and lead conversion to inform tactical and strategic decisions. Identify trends, anomalies, and areas of improvement, proposing actionable recommendations to boost sales performance. Prepare Excel reports, automating repetitive tasks and optimizing data processes for increased efficiency. Support ad-hoc data requests from stakeholders across the business. Work with the IT and Data teams to ensure data integrity, security, and availability. Stay up to date with industry best practices, especially within the financial services and insurance sectors, to bring innovative ideas to the team. REF-(Apply online only)

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.