Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

BI Analyst

Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst - Power BI Analyst in Fintech (2 years experience)

Commercial BI Data Analyst Business Partner. Global Leader

Commercial BI Data Analyst Business Partner. Global Leader. - 19728

Data Engineer

Jr Data Engineer

BI 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.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.