Senior Data Analyst

Michael Page International
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Game Analytics

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Senior Data Science Analyst - Shipping

Senior Analyst – Data Science

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

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

🍪 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.