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

Apply Now

Business Intelligence Analyst

Ipswich
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

2026 Data Science Analyst - Full Time Analyst - Glasgow & London

Growth Data Scientist/Analyst

Growth Data Scientist/Analyst

Growth Data Scientist/Analyst

Growth Data Scientist/Analyst

You must be able to commute to Ipswich, as you will be required to be on site a few days a week.
Our client is a fast-growing organisation, who are truly committed to becoming a data-driven business. They are providing exceptional client experiences and driving sustainable growth across their portfolio. They are seeking a talented Data Analyst to join a dynamic team and play a pivotal role in shaping our data-driven strategy.
Your Role:
As a Data Analyst, you will be responsible for extracting, processing, and analysing data to uncover valuable insights and drive informed decision-making. You will collaborate with data engineers, data scientists, and business stakeholders to identify patterns, trends, and opportunities that support the business’ strategic objectives.
Key Responsibilities:

  • Collect, clean, and prepare data from various sources, ensuring data accuracy and integrity.
  • Utilise SQL to manipulate and query large datasets efficiently.
  • Conduct data analysis to identify trends, patterns, and anomalies.
  • Create interactive dashboards and reports using PowerBI to visualise data effectively.
  • Collaborate with cross-functional teams to drive data-driven decision-making.
  • Ensuring compliance with data privacy and security regulations is high priority.
    Qualifications and Skills:
  • Bachelor's degree in data science, statistics, a related field, or equivalent experience.
  • Proven experience in data analysis and visualisation.
  • Proficiency in SQL and PowerBI.
  • Strong analytical and problem-solving skills.
  • Cloud and Big Data experience is extremely beneficial.
    For a full job spec, and more details, click apply or contact Ruben at Synergy

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

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.