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

Apply Now

BI Analyst

Manchester
3 months ago
Applications closed

Related Jobs

View all jobs

Commercial Sales & Pricing Data Analyst - Global Leader

Data Analyst / BI Developer - Customer & Digital Analytics

Data Analyst (Power BI, Azure) - Near Edinburgh Hybrid

Data Analyst

Data Analyst - Asset Management

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.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.