BI Analyst - New Team - Unique NFP

Richmond
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

Senior Data Scientist (Pricing and Decision Support)

Pricing & Data Science Analyst (Hybrid)

Data Scientist

Data Scientist

Would you like to work in truly unique historic beautiful surroundings to work in? Join a brand-new team and a greenfield project developing a new cloud-based data platform and analytic capabilities? Work for a NFP with a globally recognised brand and an amazing a flexible work culture as well as hybrid (2 days office working). A charity that can offer great benefits and give you free access to some of the most sort after attractions in the UK? If so, please read on ....

Role -  BI Analyst aka Data Analyst, Data Scientist, Power BI Analyst, Performance Analyst

Location - SW London / Surrey Borders - 2 Days office rest work from home

Salary -  48 - 52K + 11% Pension + Bonus + 25 days rising to 29 days + Some amazing freebies 

The role 

You will be joining a brand new team looking to harness the capabilities of a new centralise cloud based data warehouse to drive planning and decision making in the organisation. You will be developing tools, reports and dashboards to track key metrics and present and interpret data for a variety of audiences. This will involved defining and collecting metrics, addressing data quality challenges and where required design new data acquisition models. 

You

They seek people with experience of the following

Advanced analytics including using appropriate tools ideally Power BI but happy if people have been using Tableau or Qlik or similar
Working with Operational and Performance data
Working with abstract or qualitative data or experience of working with data gaps to solve problems though data owners or 3rd party data. Our client often works abstract data around cultural initiatives.
Providing input into a data model have an appreciation of areas such as data governess processes and frameworks. 

Great opportunity to join a fantastic organisation a place where people truly enjoy working and people I have placed seem to stay for the long term.

Interested? Please send a cv for a swift response

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.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.