Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Data Analytics Lead

KPMG
Norwich
8 months ago
Applications closed

Related Jobs

View all jobs

Risk Reporting Data Engineering Lead

Director -Data Science and Analytics

Lead Data Scientist - Applied Intelligence

Data Scientist

Data Engineering & Platforms Team Leader

Data Engineer (m/f/d) for Automotive Analytics Portal Development

The Role

 

The Analytics Lead will be an integral part of a team delivering data services & solutions to clients across KPMG’s Tax & Law practice. 

 

Working with a mixture of UK-and India based data engineers and data analysts, you will play a key role in designing and implementing market leading data focused solutions. .

 

You will be expected to showcase the power of our data focused technology to our clients and internal stakeholders in knowledge sharing events.

 

The role can be based anywhere in the UK, though preference will be given to candidates in Glasgow and London. Remote or part-time workers are welcome to apply.

 

Whilst there is no expectation of existing knowledge of tax, we would expect you to develop a degree of domain knowledge over time. 

 

You will have …
 

Previous experience as an Analytics lead, lead data analyst or analytics engineer. Proven experience using advanced analytics to solve complex business problems  Excellent knowledge of Alteryx, ideally with the Alteryx Designer certification. Excellent knowledge of data visualisation tools, ideally Power BI and Tableau. Strong problem-solving skills, with the ability to logically analyse complex requirements, processes and systems. Strong people skills, able to engage with a wide range of stakeholders at all levels  A passion for continual professional development and willingness to experiment with new technology.  Passion about using data to drive key business decisions. Management or mentoring experience. 

You may have ...
 

Experience using the Azure data services Synapse Analytics, Data Lake & SQL Data Warehouse  Strong SQL coding ability as well as Python scripting.  Experience using data platforms like Databricks or Snowflake. Experience manipulating large data sets. A good understanding of Machine Learning techniques & large language models Worked with Agile teams using Scrum or the Scaled Agile framework. Alteryx advanced or expert certifications & Alteryx Server administration 

 

In this role you will …

 

Design and implement high quality analytics solutions. Lead teams to build Data solutions to help our business to provide services to clients.  Work with teams of analysts using Alteryx and related tools to automate a variety of ETL and reporting processes for internal and external clients  Work with teams of BI Developers to deliver visualisations that provide key insights to our clients  Coordinate business development activities with senior colleagues across the business and present at client pitches  Embed best practice and a culture of quality across the data team  Coach and mentor others to help them achieving their potential Engaging with multiple key stakeholders internally and externally

 

 

The best of both worlds
We might be world leaders, but in many ways the department feels like a start-up, with a twist. There’s the buzz of scrum working, the thrill of shaping compelling experiences, the chance to surprise and stretch yourself in response to a fresh challenge. And then there’s all the resources, technology and high-profile projects of a major corporate entity. Crucially, we also offer the benefit of clear career progression.

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.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.