Business & Data Analyst, Data Science, AI, Advertising, tech

Phee Farrer Jones
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Forward-Deployed Data Scientist

Senior Forward-Deployed Data Scientist

Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, AI Engineer, Business Intelligence Analyst, Data Architect, Analytics Engineer, Research Data Scientist, Statistician, Quantitative Analyst, ML Ops Engineer, Applied Scientist, Insigh

Data Analyst (Cars Data Science & Analytics) - Manchester, UK

Data Scientist

Business & Data Analyst

Data-driven storyteller Wantedto Join a Leading Video Ad Tech Company

Do you love uncovering hidden patterns in data and translating them into captivating stories? Are you passionate about using your analytical skills to drive business growth?

We're seeking a highly motivated Business & Data Analyst to join high high-performing team in London. You'll work with cutting-edge technology, collaborate with brilliant minds, and have the opportunity to make a real impact on the future of video advertising.

What you'll do:

  • Unleash the power of data: Dive deep into vast datasets, uncover hidden trends, and translate your findings into actionable insights that drive business decisions.
  • Become a data storyteller: Craft compelling narratives using data visualizations, transforming complex information into easily digestible and impactful presentations.
  • Collaborate with the best: Work closely with Product, Sales, and Operations teams to understand their needs and deliver data-driven solutions.
  • Stay ahead of the curve: Explore and implement the latest data analysis techniques and technologies to gain a competitive edge.

What you'll bring:

  • A passion for data: Proven experience in data analysis, with a strong understanding of SQL and data visualization tools.
  • A knack for storytelling: Excellent communication and presentation skills, with the ability to convey complex information in a clear and engaging manner.
  • A collaborative spirit: Thrive in a fast-paced environment and enjoy working closely with cross-functional teams.
  • A thirst for knowledge: Eager to learn and stay updated on the latest advancements in data analysis and the digital advertising landscape.

Bonus points for:

  • Experience with Python, machine learning, and Agile methodologies.

Ready to join the revolution in video advertising?

Apply now and let's build the future of data-driven storytelling together!

We Are Aspire Ltd are aDisability ConfidentCommited employer

ZmFiaW9nLjY1Mzg4LjEyMjcxQHBmai5hcGxpdHJhay5jb20.gif

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.