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

Apply Now

BI Analyst

Manchester
4 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist No experience necessary

Junior Data Scientist

Data Scientist No experience necessary - job guarantee

Data Analyst / Data Scientist

Data Analyst/ Data Science Manager

Data Analyst (Data Science team)

Job Title: Business Intelligence Analyst

Location: Manchester City Centre (2 Days onsite)

Salary: £35,000 - £50,000 DOE

Who we are: The client is a digitally ambitious financial service (Flat fee trading platform). We are headquartered in Manchester with operations throughout the UK.

Why join us: The group are on the cusp of an exciting digital transformation journey and central to that transformation is technology. The group is implementing a group-wide data platform which will form the foundations of our next phase of growth following recent M&A activity.

What you'll be doing: As the lead in this role, you will drive the delivery of actionable insights to decision makers. You will be a strategic thinker who places the company and our customers at the heart of technical problem solving. You will work closely with senior stakeholders across multiple divisions within the group, leading the analysis of varying data sets to create transformational insights as well as eventually building a team to expand the Data team further.

Responsibilities:

Insights: Drive novel external and internal insights resulting in tangible economic gains through, for example, increased customer win rate, expanded gross margin, improved revenue recovery or improved operational efficiency.
Visualisations: Create and maintain data visualisations to effectively communicate insights to group businesses and stakeholders.
Commercial Insights: Analyse data and collaborate with business leads to identify opportunities and drive commercial advantage through data-driven insights.
Best Practice and Frameworks: Set best practices and establish frameworks for effective BI visualisations to ensure data is presented clearly and effectively using Power BI.
Data Extraction and Exploration: Lead business users in understanding data and how to extract actionable insights driving improvements in customer service, operations, and business efficiency.
Collaboration: Collaborate with data engineers and business leaders to align data-driven insights with company objectives.
Data Platform: Facilitate the implementation of a data reporting platform that produces insights to uncover trends and drive strategic decisions.
Data Integrity: Monitor key data sources, identify inconsistencies, and implement improvements to drive data integrity and quality. Provide insights and gap analysis to help the group drive revenue.
Recruitment: Build and manage a high-performing Reporting & Insights team to drive data intelligence, insights and crucial management information (MI) reports.
Roadmap: Work with senior stakeholders to develop a roadmap that will deliver data insights aligned with business goals, including data governance, analytics, and operational reporting.

Other Responsibilities

Performance Monitoring: Regularly monitor and measure data analytics performance using key performance indicators and other metrics.
Innovation and Improvement: Explorer new insights and trial solutions to continuously improve data processes and outcomes.
Training and Development: Provide training and development opportunities for team members to enhance their skills and knowledge.
SME Enablement: Use skills and experience to embed best practice usage of data within the group and enable business champions in their use of Power BI.

Essential Skills

Expert visualisation skills in Power BI.
Excellent analytical, presentation, and report-writing skills with a focus on performance improvement.
Excellent communication and collaboration skills. Able to work with C-suite level stakeholders.
Data curious, aware of how to use data effectively and interest in new /emerging trends in the data analytics space.
Experience with one or more of Microsoft Fabric, SQL, or Python.
Excellent Microsoft Excel skills and its integration with Power BI.
Experience in Financial services or Banking preferred.

Desirable Skills

Knowledge and experience of Machine Learning technologies.
Knowledge and experience of AI using Microsoft technologies.

In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy

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.