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

Apply Now

Head of Analytics

Endeavour Recruitment Solutions
London
7 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Clinical Data Scientist

Senior Data Scientist (Europe-based, 9 months initial contract)

Head of Data Science

Head of Product (advanced analytics & machine learning)

Contract opportunity: calling profiles for aHead of Analyticsrole with our London based client!

This is a hybrid work role, with the expectation to be 2/3 days onsite.

Our client is looking for a profile with Power BI experience and good technical knowledge of BI tools to be the face of analytics/data in the organisation and help them move forward in their analytics transformation journey.

The successfulHead of Analyticswill demonstrate excellent communication skills and ideally have the following experience:

  • Senior leadership experience in an analytics related role, with multiple stakeholders, and a complex and technical operating environment.
  • Commercial experience with a record of delivering outcomes that add value or impact on service delivery and produce ROI.
  • Experience of working with a range of operational stakeholders; demonstrating excellent communication and engagement.
  • Experience in managing projects or delivering analytics transformation programmes successfully.
  • Experience in delivering excellent customer service; preferably delivering analytics.
  • Experience of shaping strategy and vision for your service area and delivering it successfully.
  • Good experience of working in an agile product delivery model, ideally data related products, as the responsible person.

Your technical skills will include:

  • Good knowledge (Head of level) around data and analytics that optimise performance and deliver value; user experience, design, technical skills, and platform knowledge.
  • Excellent knowledge of Power BI and other analytics or data tools, technologies, preferably Microsoft. Good understanding of data architecture.
  • Good knowledge of SQL, ETL technologies and data modelling. Knowledge of programming languages useful for data analytics such as Python.
  • Good knowledge of the Azure cloud data platform and the potential to use its services to improve analytics.
  • Good knowledge of testing BI software, release cycles, devops (dataops) and how to successfully move a product from development to production.
  • Ability to understand complex technical/technology solutions and concepts, with the ability to solve complex problems.
  • Effective IT skills including basic/intermediate/advanced MS Office skills.
  • Ability to mitigate and manage complex risks; including technical or regulatory ones such as GDPR, SDR etc.

Please send your CV or get in touch for further information ASAP!

J-18808-Ljbffr

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.