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

Apply Now

Data & Insights Analyst

Wednesbury
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Data Analyst: Insights, KPIs & Forecasts (Newark)

Lead Data Analyst — AWS Cloud Data & Insights

Hybrid Junior Data Analyst | Grow with Data & Insights

Data Analyst

Data Analyst - Customer Growth (D2C) - AJ Bell

DATA & INSIGHTS ANALYST (Power BI)
Wednesbury based - Fully on site role (5 days per week)
£40K - £50K based on experience

Working for an ambitious organisation in the manufacturing industry, this brand new role will be play a key part in the transformation of the business. As part of a strategic shift towards a more data-driven approach, the company have invested in new systems and processes to enhance efficiency, improve decision-making, and drive business performance.

The Data & Insights Analyst will play a crucial role in supporting business operations with deep data insights. This position requires a strong technical skillset and the ability to translate complex data into actionable business recommendations. The Data & Insights Analyst will work cross-functionally across procurement, inventory management, logistics, sales, and finance, optimising decision-making through advanced data analysis and reporting. Experience working in a finance function or any finance understanding would be ideal.

Responsibilities Included:

Analyse and interpret operational and financial data to support decision-making across procurement, inventory, logistics, and sales.
Develop and maintain interactive dashboards and reports (Excel, Power BI, SQL, Business Central) to provide insights into business performance and key trends.
Identify patterns in large datasets, delivering actionable recommendations to optimise processes.
Ensure data integrity, consistency, and compliance with internal policies and regulations.
Assist in forecasting, budgeting, and business planning by providing accurate and timely data insights.In this role you will join a small IT / Finance team and be the sole data person so must be comfortable with this

Skills needed:

Proven experience in a data analyst role, ideally within supply chain, wholesale, and B2B environments.
Strong proficiency in Excel (PivotTables, VLOOKUP, data modelling), Power BI, and SQL.
Experience working with Business Central systems (or similar).
Excellent analytical and problem-solving skills, with the ability to interpret complex datasets.
Strong communication skills, able to explain insights to non-technical stakeholders.Data & Insights Analyst - GleeIT

At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.

By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.