Business Intelligence Analyst

In Technology Group
Manchester
10 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst (Forecasting/Planning Analytics)

Business Intelligence Analyst (Power BI / SQL)

Data Analyst - Contact Centre & Workforce Planning Analytics

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.

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.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.