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

Apply Now

Business Intelligence Analyst

In Technology Group
Leeds
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Growth Data Scientist/Analyst

Growth Data Scientist/Analyst

Growth Data Scientist/Analyst

Growth Data Scientist/Analyst

Data Scientist

Job Title: BI Analyst

Location: Leeds (Hybrid 2 days onsite)

Salary: £35,000 - £45,000 per annum (DOE)

Sector: Financial Services


About the Role:

A leading financial services business is seeking a talented and motivated BI Analyst to join their dynamic team. This hybrid role, based in Leeds, offers a balance of collaborative office work (2-3 days per week) and remote flexibility. The successful candidate will play a key role in transforming data into actionable insights, supporting business strategy and performance.


Benefits:

  • 28 Days (not including BH)
  • Up to 10% Bonus
  • Enhanced Pension
  • Travel allowance
  • Remote working options


Key Responsibilities:

  • Analyse large datasets to identify trends and provide actionable insights.
  • Build and maintain interactive dashboards and reports for key stakeholders.
  • Collaborate with teams across finance, operations, and risk management to understand data needs.
  • Ensure data accuracy and consistency through rigorous validation and quality checks.
  • Support strategic projects using data-driven approaches, including predictive analytics.
  • Continuously seek opportunities to improve data processes and reporting efficiency.


Required Skills and Experience:

  • Proven experience as a Data Analyst or in a similar analytical role.
  • Advanced proficiency in data visualization tools (e.g., Power BI, Tableau, or QlikView).
  • Strong SQL skills for data querying and manipulation.
  • Advanced Excel capabilities, including pivot tables and data modeling.
  • Solid understanding of statistical analysis methods and tools (e.g., Python or R).
  • Excellent problem-solving skills and strong attention to detail.
  • Ability to communicate complex data insights clearly to non-technical stakeholders.


Desirable Skills:

  • Previous experience in the financial services sector.
  • Familiarity with data warehousing and ETL processes.
  • Exposure to cloud-based data platforms (e.g., Azure, AWS, or Google Cloud).
  • Knowledge of machine learning techniques and frameworks.
  • Professional certifications in data analysis or visualization (e.g., Power BI, SQL).
  • Understanding of GDPR and other data protection regulations.


What’s on Offer:

  • Competitive salary of £35,000 - £45,000 per annum, depending on experience.
  • Hybrid working environment with flexibility to work remotely.
  • Career development opportunities with support for professional certifications.
  • A collaborative and supportive work culture.
  • Generous annual leave and a comprehensive benefits package.

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 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.