BI & Data Analyst

Morgan Hunt Recruitment
Tunbridge Wells, United Kingdom
Today
£50,000 – £55,000 pa

Salary

£50,000 – £55,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Today)

Benefits

37.5 hours per week Access to Gym Free Lunch Flexibility during key delivery periods

Morgan Hunt are working exclusively with Tonbridge school to hire a Business Intelligence & Data Analyst to shape how data drives decision-making across a complex, multi-stakeholder organisation.

You'll take ownership of end-to-end analytics delivery-from scoping and data modelling through to building dashboards and presenting insights to senior leaders. This is a hands-on role where technical capability meets real business influence.

Power BI sits at the heart of the analytics stack, and you'll play a key role in evolving reporting, improving data quality, and embedding a data-driven culture across the organisation.

What You'll Be Doing

  • Designing and delivering impactful dashboards and reports that support strategic decision-making
  • Working directly with stakeholders to translate business challenges into data solutions
  • Building and maintaining robust data models and semantic layers
  • Turning complex datasets into clear, actionable insights for non-technical audiences
  • Improving reporting standards, data quality, and visual consistency
  • Automating manual reporting processes to increase efficiency
  • Supporting and enhancing analytics within digital products and platforms
  • Exploring and applying emerging technologies, including AI-driven analytics
What We're Looking For

Essential:

  • Strong experience delivering BI and reporting solutions (Power BI or similar)
  • Solid SQL skills and experience working with structured data
  • Proven ability in data modelling and transformation
  • Strong analytical mindset with the ability to identify trends and insights
  • Confident communicator, able to engage and influence senior stakeholders
  • Self-starter who can manage priorities and deliver independently

Desirable:

  • Experience integrating analytics into applications or digital products
  • Exposure to cloud platforms and modern data tooling (e.g. Azure)
  • Familiarity with Agile or iterative delivery environments
Why Join?
  • Opportunity to own and shape analytics capability in a growing function
  • High visibility role with direct exposure to senior decision-makers
  • Blend of technical delivery and strategic influence
  • Involvement in modern data and AI-driven initiatives
  • Collaborative, forward-thinking digital and technology environment
Working Arrangements
  • 37.5 hours per week, Monday to Friday
  • Tonbridge based
  • Salary, £50,000- £55,000
  • Hybrid working model, 3 days per week in the office
  • Access to Gym
  • Free Lunch
  • Flexibility required during key delivery periods

Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

Related Jobs

View all jobs

BI Data Analyst

Pavilion Recruitment Solutions Dublin, Alba / Scotland, IV17 0YF, United Kingdom
€30,436 – €33,045 pa On-site

Systems and Data Analyst

Acis Group Gainsborough, United Kingdom

Data and Insight Manager

Vocative Consulting Bridgwater, Somerset, United Kingdom
£60,000 – £65,000 pa

Data Analyst and Power Bi

Long O Donnell Associates Limited County Durham, United Kingdom

Performance Analyst in Power BI

Long O Donnell Associates Limited Durham, County Durham, DH1 3NG, United Kingdom

Senior Data Analyst

AJ Bell Salford, United Kingdom
£40,000 – £60,000 pa On-site

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.

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.

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.

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.