Senior Data Analyst - Reading, Berkshire

Thames Water
Reading
1 day ago
Create job alert

Senior Data Analyst - Reading, Berkshire, RG2 6AD Contract: PermanentSalary: This role will be paid from £48,105 to £ 53,000 per annum depending on skills and experienceWe’re looking for a Senior Data Analyst to join us and support the team as we put new tools, technologies, and analytical techniques into practice. The role will support the delivery of insight and analysis across the UK’s largest water and wastewater company, with a real focus on using data to solve practical, real-world problems.
For the right person, this is a great opportunity to progress your career by stretching your skills, supporting colleagues, and applying your technical knowledge in a meaningful way. You will be involved in building logic, automating processes, developing reports, and delivering insight, using tools such as SQL, Power BI, Python,  and Azure Databricks  to drive efficiency and effectiveness across the business.
What you’ll be doing as a Senior Data Analyst

  • Analysing large and varied data sets from operational, environmental, and external sources to generate clear insight.
  • Designing, transforming, and querying databases to support reporting and data-led decision making.
  • Building and maintaining dashboards and reports using tools such as Power BI and SQL, Azure Databricks.
  • Developing logic and automation to improve efficiency, data quality, and consistency.
  • Applying statistical methods and modelling to identify trends, risks, and opportunities.
  • Working closely with stakeholders to understand priorities and translate business questions into analytical solutions.

Base location: Kemble Court, Reading (RG2 6AD)
Working hours: 36 hours per week Monday to Friday
What you should bring to the role

  • Experience with data pipelines or Azure Databricks is essential.
  • Strong experience in data analysis, reporting, and insight generation.
  • Solid knowledge of SQL and Power BI, including Power Query.
  • Experience working with large, complex data sets and multiple data sources.
  • Practical experience using statistical tools or languages such as Python or R.
  • The ability to explain data and insight clearly to non-technical audiences.

What’s in it for you?

  • This role will be paid from £48,105 to £53,000 per annum, depending on skills and experience.
  • 26 days holiday per year, increasing to 30 with the length of service. (plus bank holidays)
  • Generous Pension Scheme through AON.
  • Access to lots of benefits to help you take care of yourself and your family’s health and wellbeing, and your finances – from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance.
  • Performance-related pay plan directly linked to company performance measures and targets.

Find out more about our benefits and perks
Who are we?
We’re the UK’s largest water and wastewater company, with more than 16 million customers relying on us every day to supply water for their taps and toilets. We want to build a better future for all, helping our customers, communities, people, and the planet to thrive. It’s a big job and we’ve got a long way to go, so we need help from passionate and skilled people, committed to making a difference and getting us to where we want to be in the years and decades to come.
Learn more about our purpose and values
Working at Thames Wate r
Thames Water is a unique, rewarding, and diverse place to work, where every day you can make a difference, yet no day is the same. As part of our family, you’ll enjoy meaningful career opportunities, flexible working arrangements and excellent benefits.
If you’re looking for a sustainable and successful career where you can make a daily difference to millions of people’s lives while helping to protect the world of water for future generations, we’ll be here to support you every step of the way. Together, we can build a better future for our customers, our region, and our planet.
Real purpose, real support, real opportunities. Come and join the Thames Water family. Why choose us? Learn more.
We’re committed to being a great, diverse, and inclusive place to work. We welcome applications from everyone and want to ensure you feel supported throughout the recruitment process. If you need any adjustments, whether that’s extra time, accessible formats, or anything else just let us know, we’re here to help and support.
When a crisis happens, we all rally around to support our customers. As part of Team Thames, you’ll have the opportunity to sign up to support our customers on the frontline as an ambassador. Full training will be given for what is undoubtedly an incredibly rewarding experience. It’s also a great opportunity to learn more about our business and meet colleagues.
Disclaimer: due to the high volume of applications we receive, we may close the advert earlier than the advertised date, so we encourage you to apply as soon as possible to avoid disappointment.

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst (12 Month Contract)

Senior Data Analyst

Senior Data Analyst - HOTH, Permanent

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 Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

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

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.