Head of Analytics

Endeavour Recruitment Solutions
London
10 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science & Analytics, Product & Marketing

Data Scientist AI

Head of Data Science, AI & Advanced Analytics Strategy

Head of Data Science - Advanced Analytics & AI

Head of Data Science - Advanced Analytics & AI

Head of Data Science — Hybrid Leader, £160k+ Bonus

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.

Education

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.

Jobs Careers

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.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

🍪 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.