Internal Audit-Data Analytics Manager - Reading, Berkshire

Thames Water
Reading
5 days ago
Create job alert

Internal Audit-Data Analytics Manager - Reading, Berkshire, RG1 8DB Contract: PermanentSalary: Circa £75,000 - £95,000 depending on experienceAs the UK’s largest water company, we are taking action for a new world of water - fixing the problems of today and building resilience for tomorrow. We are undergoing a significant transformation, and in addition to this, there are key new developments including recapitalisation and ownership changes, external developments in Corporate Governance, all encompassed by an increased level of public scrutiny through continued media and regulator attention. The provision to the Board of fit-for-purpose and credible internal audit, assurance, and controls activity within this changing environment is vital, and utilising data in support of this activity is a core part of taking the team to the next level of maturity.
We’re creating an exciting new role for an Internal Audit – Data Analytics Manager  to play a pivotal part in transforming how audit and assurance activities are delivered across our organisation. This is a rare opportunity to design and embed a data‑led audit capability from the ground up—using advanced analytics to deliver deeper insight, stronger assurance and smarter outcomes.
Operating in a complex and evolving data landscape, you’ll combine deep technical expertise with strong stakeholder engagement to influence change, build capability and embed best practice across the function. You’ll also provide leadership to a Data Analyst and act as a trusted advisor to senior stakeholders.
What you will be doing as Internal Audit- Data Analytics Manager

  • Designing and embedding a data analytics strategy for the audit, assurance and controls function, with clear objectives across people, process and technology
  • Redefining audit methodology to be truly data‑centric, with analytics fully embedded across the audit lifecycle to drive consistency, quality and advanced insight
  • Delivering assurance over complex risks , applying advanced analytics techniques to support the most challenging areas of the audit and assurance plans
  • Building strong relationships with IT, data, technology and business stakeholders to enable access to data, tools, platforms and expertise
  • Developing analytics capability across the team through structured training, coaching and knowledge sharing
  • Leading and developing a Data Analyst , supporting their ongoing growth and effectiveness

What you should bring to the role

  • Proven experience developing and implementing a data strategy within an internal audit, assurance or risk environment
  • Excellent communication skills, with the ability to translate complex data and analytics into clear, meaningful insights for non‑technical stakeholders
  • Strong leadership and collaboration skills, with experience delivering insightful reporting and KPIs
  • Deep hands‑on experience with data analytics tools and technologies. This could have been gained with tools such as ACL or Alteryx, and with advanced capability in, for example, SQL, Excel, Power BI, Tableau, VBA, R, Python etc.
  • Strong understanding of enterprise data architecture and ERP platforms , such as SAP
  • Knowledge of data services including integration, business intelligence, data science and data stewardship
  • Ability to source, validate, transform and analyse large and complex datasets , including unstructured data
  • A solid understanding of predictive modelling techniques and the metrics used to assess and evaluate models

What’s in it for you?  
An opportunity to join a company that offers its employees a rewarding career path, allowing individuals to reach their full potential. This is an exciting time to join Thames Water as we continue to deliver our innovative turnaround plan.

  • Competitive salary circa  £75,000 - £95,000 per annum, depending on experience.
  • Annual Leave - 26 days holiday per year, increasing to 30 with the length of service. (Plus bank holidays) 
  • Car Allowance - £5,800.
  • Annual Bonus - up to 25% of base salary.
  • Private Medical Health Care.
  • Contributory pension – Defined Contribution - Maximum of 12% -2x employee contribution.
  • Personal Medical Assessments – Open to all once a year.
  • Access to lots of benefits to help you take care of your and your family’s health and well-being, and your finances – from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance.

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

Internal Audit-Data Analytics Manager

Principal, Structured Finance Quantitative Specialist...

Finance Data Engineering Leader (Hybrid - Edinburgh)

Lead Configuration and Data Engineer

Principal Configuration and Data Engineer

Lead Configuration and Data Engineer

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 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.

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

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

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

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.