BI Analyst

Manchester

7 months ago

Applications closed

Related Jobs

View all jobs

Data Analyst: Power BI & Fabric Analytics (Gold Layer)

Power BI Data Analyst

Power BI Data Analyst: HR & Sustainability Insights

Data Analyst, hireful

Data Analyst

Senior Data Analyst

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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Jan 29, 2026

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Jan 24, 2026

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.