Business Intelligence & Performance Manager

Royal Tunbridge Wells
11 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Analyst (Forecasting/Planning Analytics)

Business Intelligence and Database Lead

Data Scientist

Performance and Data Analyst (SEND)

Head of Business Intelligence & Data Analytics

Head of Business Intelligence & Reporting

To ensure that there are clear rules on the collection, filing, indexing and retention of customer data.

  • To ensure that the Business Intelligence and Performance function produces reliable and timely data to allow the organisation to understand its performance.

  • To monitor alignment of corporate and operational strategic objectives, and annual business planning actions and to co-ordinate the monitoring of delivery against plans.

  • To ensure that reports are produced for staff and board level meetings in the appropriate format and by the due date.

  • To co-ordinate timely and effective performance reporting for the organisation, and effectively analyse, report, review and account for performance.

  • To lead on the collection and analysis of customer survey responses, developing surveys to meet the changing needs of the business.

  • To understand, assess and develop the data landscape in databases and infrastructure applications.

  • To use and develop data collection processes, including reviewing and validating data across databases and infrastructure applications.

  • To gather end user requirements and develop dashboards and create reports, supporting users to maximise benefits and insights to inform decisions and service delivery.

  • Communicate insights to senior management and across the organisation

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.

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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.