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

Nominate & Attend

Data Analyst

Harnham
Stanford-le-Hope
1 week ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

SPATIAL DATA ANALYST

£40,000–£50,000

LONDON – 2–3 DAYS IN THE OFFICE


THE COMPANY

This organisation is the gold standard for audience measurement inOut-of-Home (OOH)advertising—think billboards, buses, digital screens, and more. As a joint industry committee, they work with media owners, agencies and advertisers to deliver trusted, standardised insights across the sector. With a small but highly technical team, they specialise in analysingmovement and exposure patterns, ensuring brands know not just who they’re reaching—but where, when, and how often.


THE ROLE:

This is aspatial analyticsrole at its core.

  • You'll work with large-scale movement datasets—sourced from telecoms providers and partners—to build accurate pictures of population flow and advertising exposure.
  • Your focus will be on analysing and interpretinglocation-based data, drawing insights on audience behaviour usingSQLandspatial joins, and producing engagingTableau visualisationsto inform key media decisions.
  • This role complements an existing team member focused on dashboarding—your role is aboutraw insight generation and deep geospatial analysis.


WHAT YOU NEED:

  • Strong hands-on experience withspatial dataand geospatial techniques
  • Proven ability inSQLfor complex data querying and wrangling
  • Exposure to tools likeTableau,BigQuery GIS, orPostGISis highly desirable
  • Ideally, a background inmedia, advertising, orlocation intelligence
  • A curious mindset with a passion for unlocking insight from movement data


HOW TO APPLY:

Apply via the link below!

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.