National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Data Analyst - 35962738

Gaydon
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst - Growth & Retention

Lead Data Engineer

Lead Data Engineer

Senior Data Engineer

Senior Data Analyst | Cambridge | Fintech

Senior Data Analyst | Cambridge | Fintech

Lead Data Analyst - (phone number removed) - £33.88/hr (Umbrella Rate)

An exciting opportunity has arisen for a Lead Data Analyst to join a dynamic and forward-thinking organisation. This is your chance to be part of a team that thrives on innovation and creativity while driving business transformation through data excellence. If you're passionate about turning complex data into actionable insights and creating engaging visualisations, this role is tailor-made for you!

What You Will Do:

  • Develop and implement data input methods and automation processes using tools such as PowerApps and Power Automate.

  • Create visually compelling dashboards and reports using tools like Tableau to enable data-driven decision-making across the organisation.

  • Collaborate with stakeholders to design, analyse, and maintain diverse data inputs and outputs, ensuring reliability and consistency.

  • Identify trends and patterns in complex datasets, forecast outcomes, and validate assumptions to support business planning and transformation.

  • Monitor data quality and identify inefficiencies that can be improved with innovative data tools and processes.

  • Present clear and impactful insights to stakeholders and decision-makers, ensuring data outputs are easily interpreted and actionable.

    What You Will Bring:

  • Proven experience with data analysis tools such as Tableau Prep and Tableau.

  • Proficiency in Microsoft 365 tools, including SharePoint Lists, PowerApps, and Power Automate.

  • Strong analytical and conceptual thinking skills with a flair for problem-solving.

  • Excellent organisational and communication skills, with the ability to thrive in a fast-paced environment.

  • Competence in using Office tools, including Excel and PowerPoint, to support data-driven initiatives.

    As a Lead Data Analyst, you will play a pivotal role in empowering the organisation to make informed decisions through data excellence. Your work will directly contribute to enhancing operational efficiency, driving innovation, and supporting the company's vision of transformation. This is a role where your technical expertise and creativity will shine, making a tangible impact on the business.

    Location:

    This role is based in Gaydon, offering a vibrant and collaborative working environment.

    Interested?:

    Don't miss this opportunity to make your mark as a Lead Data Analyst. Apply today and take the first step towards a rewarding and impactful career!

    Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.

    In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included
National AI Awards 2025

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.