Technical Business Analyst

Fortice
Horsham
1 year ago
Applications closed

Related Jobs

View all jobs

Consultant, Data Science and Business Analyst, AI & Data, Defence & Security

2026 Apprentice - Digital (Data Science) - Belfast

Product Manager (Artificial Intelligence) - Ipswich, Norwich, Cambridge, Chelmsford

Senior Director, Data Science and Analytics

Data Scientist

Data Scientist

Are you looking to drive impactful digital transformations across the UK public sector?


We're seeking a talented Technical Business Analyst to join a leading consulting team, renowned for utilising cutting-edge technologies in data, AI, and machine learning to deliver strategic and technical solutions. In this unique role, you'll partner closely with clients, translating their goals into tailored digital solutions that are both innovative and actionable.


Key Responsibilities:

  • Elicit, analyse, and manage business requirements, developing high-impact deliverables such as Minimum Viable Products (MVPs) and live systems.
  • Collaborate with engineering teams to create data and cloud solutions on platforms like AWS and Azure, ensuring top-tier delivery.
  • Lead in the design of technical solutions, from proof of concept through to completion, acting as a trusted advisor and product owner.
  • Conduct horizon scanning for emerging technologies, positioning the company as a forward-thinking partner in data innovation.


What You’ll Bring:

  • Extensive experience with requirement gathering, solution design, and dash-boarding in PowerBI or Tableau.
  • Strong skills in data transformation, storage, and pipeline creation (Python, SQL, AWS Glue).
  • Background in cloud architecture and ideally, certifications in AWS or Azure.
  • Proven client engagement experience, with the ability to develop business cases, risk assessments, and present technical solutions to senior stakeholders.
  • Familiarity with government standards (GDS) is highly valued, and a background in working with defence or central government clients is advantageous.


Additional Information:

  • Hybrid working model (approx 1 day a week on site.)
  • Security Clearance: Eligible for SC essential.


Interested? Apply Below!


Equality and Inclusion:We are committed to creating diverse and inclusive teams and encourage applications from people of all identities and communities. Regardless of background, race, religious beliefs, or sexual orientation, we exist to enable good people to do better work with greater outcomes.

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.