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

Apply Now

Data Analyst

Scunthorpe
1 week ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

A Data Analyst is required for collecting, analysing, and interpreting data to help drive business decisions. They focus on market trends, sales performance, customer behaviour, and operational efficiency.

Key Responsibilities:

  1. Data Collection & Management

  • Gather and clean data from various sources, including sales reports, website analytics, CRM systems, and customer feedback.

  • Maintain databases and ensure data accuracy and consistency.

  • Work with different teams (marketing, sales, supply chain) to collect relevant business data.

  1. Sales & Performance Analysis

  • Track and analyse sales trends for kitchen and bathroom products.

  • Identify best-selling products, seasonal trends, and underperforming items.

  • Provide reports on revenue, profit margins, and customer buying patterns.

  1. Customer & Market Insights

  • Analyse customer behaviour, demographics, and preferences to improve product offerings.

  • Study competitor pricing, promotions, and market positioning.

  • Conduct market research to identify opportunities for new product launches.

  1. Operational & Supply Chain Analysis

  • Assess inventory levels and forecast demand to prevent overstocking or shortages.

  • Analyse supplier performance, lead times, and procurement efficiency.

  • Optimize logistics and delivery data for cost reduction and efficiency.

  1. Digital & E-commerce Analytics

  • Monitor website traffic, conversion rates, and customer journey analysis.

  • Evaluate digital marketing campaigns (SEO, PPC, email, social media) and ROI.

  • Identify areas for website improvements to enhance user experience and sales.

  1. Reporting & Visualization

  • Create dashboards and reports using Excel, Power BI, Tableau, or similar tools.

  • Present findings to management and stakeholders with clear insights and recommendations.

  • Automate data reporting to improve efficiency and accuracy.

  1. Forecasting & Business Strategy Support

  • Use predictive analytics to forecast sales, demand, and market trends.

  • Support pricing strategies by analysing cost structures and competitive pricing.

  • Assist in financial modelling and budgeting for future business growth.

    Key Skills Required:

    ✅ Proficiency in data analysis tools (Excel, SQL, Power BI, Tableau)
    ✅ Strong understanding of kitchen & bathroom product sales and market trends
    ✅ Experience with e-commerce analytics (Google Analytics, Shopify, etc.)
    ✅ Knowledge of CRM and ERP systems (Salesforce, SAP, etc.)
    ✅ Strong problem-solving and critical thinking skills
    ✅ Excellent communication skills for presenting insights

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

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.

Jobs

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.

Jobs

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

🍪 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.