National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Business Intelligence Analyst

In Technology Group
Leeds
6 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Consultant

HR Data Analyst

HR Data Analyst

Data Analyst – Planning Group (AVP level)

Business Intelligence Data Analyst

Global Services Data Analyst – Business Intelligence

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.
National AI Awards 2025

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 Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.