Senior Data Analyst

LHH
Reading
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Data Analyst/Manager

Data Engineer

Senior Systems and Data Analyst (Grade L)

Settlements Data Analyst

Inside IR35 | SC Cleared | Contract | Defence


Role Overview

We are seeking a Principal Data Analyst to join a major defence digital programme, supporting the design and delivery of advanced analytics solutions across multiple workstreams.


This is a senior, hands-on role combining technical leadership, stakeholder engagement, and delivery ownership. You will play a key role in shaping data strategy, improving data governance and quality, and enabling data-driven decision-making across the organisation.


Key Responsibilities

As a Principal Data Analyst, you will:



  • Lead the design and delivery of advanced analytics solutions across multiple projects
  • Oversee the development and maintenance of dashboards, reports, and automated workflows using data warehousing and SQL-based solutions
  • Define and implement data governance, security, privacy, and compliance standards
  • Collaborate with data architects, engineers, and senior business stakeholders to shape data strategies
  • Translate complex datasets into clear, actionable insights for technical and non-technical audiences
  • Lead and mentor analysts, contributing to capability and best-practice development
  • Drive innovation through improved data practices, tooling, and emerging technologies

Core Skills & Experience (Essential)

  • Strong experience across the data lifecycle, including governance, quality, and validation
  • Advanced proficiency with SQL and data warehousing solutions
  • Strong experience with data visualisation tools (Power BI, Tableau)
  • Proven experience working with cloud-based or hybrid data environments
  • Strong understanding of data security, privacy, and ethical considerations
  • Experience gathering and translating requirements into scalable data solutions
  • Ability to plan, manage, and lead work packages within multi-disciplinary teams
  • Experience working in Agile or DevOps environments and contributing to technical strategy
  • Degree in STEM, Data Science, or a related discipline
  • Professional certifications in analytics or data engineering
  • Programming experience using Python
  • Exposure to machine learning techniques or advanced statistical modelling

This is not an exhaustive list. We are keen to hear from candidates who may not meet every requirement but bring a strong attitude and willingness to learn.


What We’re Looking For

  • A senior data professional who can lead, influence, and deliver, not just analyse
  • Someone comfortable operating in a regulated, security-conscious environment
  • Strong communication skills and confidence engaging with senior stakeholders
  • Active SC clearance or clear eligibility is mandatory
  • Contract role – Inside IR35
  • Reading-based with hybrid working
  • Long-term opportunity within a large defence programme

Apply

If you’re a Principal Data Analyst with strong technical depth and leadership experience, we’d like to hear from you.


#J-18808-Ljbffr

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 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.