Data Analyst

Haydock
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Join Our Team: Data Analyst Position at Linaker

Linaker is excited to announce an opportunity for a talented Data Analyst to join our team as we embark on a transformative digital journey. We are looking for an individual who is proactive, can manage multiple projects in a fast-paced environment. This individual will be passionate about data and analytics and committed to driving business success through data driven decisions and digital innovation. This job offers hybrid / remote working.

Key Responsibilities:

  • Analyse complex data sets to identify trends, patterns, and insights that will inform strategic decisions.

  • Extract data from multiple sources such as APIs, CSVs, SQL, Databases.

  • Transformation & modelling of raw data into a useable format for analysis.

  • Design and create interactive dashboards and reports using Power BI and Excel to communicate findings to stakeholders of all levels.

  • Ensure data accuracy and integrity by implementing robust data management practices.

  • Collaborate with cross-functional teams to support digital transformation initiatives and enhance data-driven decision-making.

  • Contribute to the support and continual development of the data landscape to ensure its optimal performance and availability.

    Required skills & qualifications:

  • Excellent communication and collaboration skills, with the ability to manage multiple projects alongside ad hoc tasks.

  • A bachelor's degree or similar qualification in a computer or data science discipline.

  • Proven experience in data analysis or a related field with a strong proficiency in data analytics tools and software. (minimum of 3 years' experience)

  • Proficiency in SQL for database querying and manipulation.

  • Experience with APIs for data integration and retrieval.

  • Advanced skills in Power BI for creating interactive reports and dashboards.

  • Expert Excel skills, including complex formulas & data visualization.

  • Knowledge of Data Warehouse/Data Lake architectures and technologies.

  • Strong working knowledge of a language for data analysis and scripting, such as Python, Pyspark, R, Java, or Scala.

  • Experience with any of the following would be desirable but not essential; Microsoft’s Fabric data platform, Experience with ADF such as managing pipelines,

  • API development, API webhooks, automation. Previous experience working with facilities management datasets.

    Benefits

  • A competitive salary of up to £45,000 with annual pay reviews.

  • 25 Days holiday plus bank holidays.

  • Opportunity to earn overtime.

  • Training contracts offered to support future development.

  • Employee assistant programme.

  • Full training by a supportive friendly team.

  • Pension scheme.

  • Annual events and competitions.

    If you are ready to take on this exciting role and contribute to Linaker's digital future, we would love to hear from you. Please submit your application, including a resume and a cover letter detailing your experience and why you are the perfect fit for this role.

    Apply Now and be a part of our digital transformation success story

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Education

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

Jobs

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Jobs Careers

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

🍪 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.