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

Apply Now

Lead Data Analyst

Apex Recruitment Services
Gaydon
5 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

JOB DESCRIPTION

Job Opportunity: Lead Data Analyst

Location:Gaydon

Function:Business Planning and Transformation – Creative

Duration:Contract

Umbrella Rate:£33.88–£34.27 per hour

We are currently seeking aLead Data Analystto join a forward-thinking Creative team within a prestigious Automotive organisation. This role supports data design, analysis, and visualisation, enabling better decision-making through innovative digital tools. You'll collaborate with cross-functional teams to streamline data input, automate processes, and build impactful reporting solutions.



Role Responsibilities:

  • Transform complex data into clear, visual insights using PowerApps and Tableau.
  • Develop and maintain automated data input and management processes across the Creative department.
  • Enable data-driven decision-making by identifying trends and patterns across known and unknown data sources.
  • Present insights and findings through comprehensive reports to stakeholders and senior leadership.


Skills & Experience:

  • Strong background in data visualisation tools including Tableau and Tableau Prep.
  • Skilled in Microsoft 365 suite including SharePoint Lists, Power Apps and Power Automate.
  • Proficient with Excel, PowerPoint and general Office tools.
  • Able to analyse complex datasets to produce actionable insights.


What We’re Looking For:

  • A confident communicator capable of working with both technical and non-technical stakeholders.
  • Proven problem-solver who thrives in a dynamic, fast-paced environment.
  • Detail-oriented and highly organised with a structured approach to work.
  • Enthusiastic about using data to improve processes and drive efficiency.


Qualifications:

  • Degree or equivalent experience in Data Science, Computer Science, Business Analytics or related field.

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 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.

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.

🍪 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.