Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Analyst

Michael Page International
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist - Data.One

Senior Data Scientist

Senior Data Management Professional - Data Science - Data Management Lab

Product Data Scientist

Senior Data Scientist & AI Specialist

A Senior Data Analyst role has opened up in a leading Not For Profit organisation located in London. This role is perfect for those looking to utilise their analytics skills to make a lasting impact in a team leader position.

Client Details

This not-for-profit organization is responsible for maintaining public records of court judgments, decrees, and fines, ensuring the accuracy and accessibility of critical financial data. It collaborates with lenders, credit reference agencies, and public bodies to support responsible lending and borrowing decisions. By promoting transparency and financial accountability, the organization plays a pivotal role in enabling fair and informed decisions across the credit and debt management sectors, contributing to financial inclusion and stability.

Description

  • Lead a team of data analysts to provide insightful data analysis for company-wide decision making.
  • Implement data analytics tools and strategies to improve data collection and interpretation.
  • Communicate data analysis results to stakeholders in a clear and concise manner.
  • Ensure data quality and integrity in databases.
  • Drive the training and development of junior data analysts in the team.
  • Work closely with other departments to understand and fulfil their data analysis needs.
  • Identify, analyse, and interpret trends or patterns in complex data sets.
  • Use predictive modelling to increase and optimise customer experiences.

Profile

A successful Senior Data Analyst should have:

  • An educational background in Data Science, Computer Science, Statistics or a related field.
  • Proficiency in Tableau & SQL
  • Experience in managing a team of data analysts.
  • Strong knowledge of data modelling and predictive modelling techniques.
  • Excellent communication skills to present data-driven insights.
  • Proficiency in data analysis tools and database software.

Job Offer

  • An annual salary ranging from £40,000 to £47,000.
  • A generous pension contribution of 20%.
  • 30 days holiday leave to promote work-life balance.
  • A vibrant company culture in a leading Not For Profit organisation.
  • An opportunity to use your analytics skills to make a real impact.

We encourage all qualified individuals who believe they can make a difference in our Not For Profit organisation to apply for this Senior Data Analyst role in London.

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.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 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.