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

Apply Now

Lead BI Analyst

Harnham
Manchester
8 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Data Scientist

Senior Data Scientist - Love & Pies

CS Data Science and Analytics Engineer

Strategic Insight Data Science Lead

Lead BI AnalystFully Remote Up to £70,000About theCompany: Join a leading health and wellbeing organizationrevolutionising health services for businesses. With a client basethat has scaled from 350 to 1,200 over eight years, thisorganisation is undergoing an exciting data and technologytransformation under the leadership of an innovative CTO.Thecompany leverages cutting-edge tools like Databricks, Power BI, andMicrosoft Fabric, focusing on delivering actionable insights andautomating data processes to enhance client decision-making.RoleOverview: As the Lead BI Analyst, you’ll play a pivotal role indriving the organization’s data strategy forward. This hands-onposition requires technical expertise, leadership skills, and astrong ability to engage stakeholders at all levels, includingsenior leadership. You’ll lead a growing team of analysts, workclosely with data scientists, and help clients unlock the fullvalue of their data.Key Responsibilities:Microsoft FabricLeadership: Spearhead the organization’s adoption and expansion ofMicrosoft Fabric, optimizing its current 30% usage to fully realizeits potential.Stakeholder Management: Build strong relationshipswith senior stakeholders, including the Chief Medical Officer, tounderstand their needs and deliver impactful insights.TeamLeadership: Manage and mentor a team of 3 analysts (with plans toexpand), fostering a collaborative and high-performingenvironment.Data Insights: Develop innovative solutions to helpclients access, understand, and act on data insights, such asanalyzing appointment trends and cancellation patterns.Power BIOverhaul: Lead the redevelopment of the company’s Power BIplatform, enhancing client reporting and unlocking new value fromexisting data.Strategic Projects: Collaborate on excitinginitiatives, such as supporting machine learning models andautomating data preparation processes.What We’re Looking For:Provenexpertise with Microsoft Fabric and Power BI, with a vision toenhance and expand their usage.Advanced proficiency in SQL and astrong understanding of data architecture.Exceptional stakeholdermanagement skills with the ability to present complex insights tosenior leadership and external clients.A balance of technicalhands-on ability and strategic thinking.A proactive,problem-solving mindset to help clients and the organization unlockthe full potential of their data.Please apply for moredetails.

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.

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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.