Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analytics Manager

Exeter
4 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Senior Data Engineer

Data Engineer

Data Engineering Manager

Data Governance Manager - Financial Services

Senior Data Engineer

Data Analytics Manager

  • Exeter, Devon (Hybrid-Working, with a minimum of x2 days in the office)
  • £70,000 per year
  • Plus excellent company benefits (including Pension, Bonuses, Life Insurance, Private Healthcare, etc.
    The Opportunity:
    My client based in the sustainability sector are currently on the lookout for a Data Analytics Manager on a permanent basis based out of their offices in Devon.
    My client are in an exciting period of transition and transformation as they build their all new Azure data lake and this newly created role will be responsible for the evolution of my client’s data infrastructure and analytics as they build and develop their next generation of self-service data tools for customers.
    In this role you must be comfortable maintaining legacy systems (Excel, VBA and PowerPoint) whilst managing the transition to the new Azure platform.
    You will be managing a small team of skilled analysts, enabling the business to maintain operational outputs whilst also providing coaching and mentorship to upskill the team.
    We are looking for a critical thinker who has experience in building and developing new analytical data structures, to extract the insight required and understanding needed from their evolving data sources.
    Skills and Experience:
  • Experience with managing a small team of skilled Data Analysts
  • At least 5 years’ experience in a Senior Data Analyst/Data Scientist role
  • Demonstrable experience using data modelling (dimensional modelling), warehousing, processing (Map Reduce) and transformation techniques
  • Expert in SQL and at least one analytical programming language (Python is preferred, R or Julia)
  • Advocate of IAC principles and best practice coding (GIT, SVN)
  • Ability to optimise workflows and analysis for map reduce processing
  • Experience with BI software (Power BI, Tableau and/or Qlik Sense)
    Please contact John Noonan here at ISR Recruitment to learn more about this opportunity as a Data Analytics Manager and our exciting client based in Devon and their ongoing growth plans??

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.

Careers Education

The Best Free Tools & Platforms to Practise Data Engineering Skills in 2025/26

Data engineering has rapidly become one of the most critical disciplines in technology. Every business, from financial services to healthcare to e-commerce, relies on robust data pipelines to move, transform, and store information efficiently. Without skilled data engineers, the modern data-driven economy would grind to a halt. The challenge for job seekers? Employers don’t just want to see academic credentials. They want hands-on evidence that you can build and manage data workflows, integrate sources, optimise performance, and deploy solutions at scale. Fortunately, you don’t need expensive software licences or premium courses to gain practical experience. A wealth of free tools and platforms allow you to practise and master the essential skills of a data engineer. In this vlog-style guide, we’ll cover the best free resources you can use in 2025 to build portfolio-ready projects and boost your job prospects.

Jobs

Top 10 Skills in Data Engineering According to LinkedIn & Indeed Job Postings

Data engineering is the backbone of modern analytics, AI, and business intelligence. Across the UK—from finance and health to e-commerce and public sector—organisations are investing heavily in platforms that ingest, process, and store vast amounts of data. Demand for professionals who can build robust, scalable, and reliable data pipelines has never been higher. But what skills do employers really want? By analysing job postings on LinkedIn and Indeed, this article highlights the Top 10 data engineering skills that UK organisations are looking for in 2025. You’ll learn how to surface these skills in your CV, demonstrate them in interviews, and build proof-of-work through a compelling portfolio.

Careers

The Future of Data Engineering Jobs: Careers That Don’t Exist Yet

Data engineering has quietly become one of the most crucial roles in modern technology. While data science and artificial intelligence often attract the headlines, it is data engineering that provides the foundation. By building pipelines, managing databases, and ensuring data quality, data engineers make it possible for organisations to analyse, innovate, and grow. In the UK, data engineering is booming. Banks rely on engineers to process financial transactions in real time. Retailers depend on them to analyse customer behaviour. Healthcare providers use engineered data to fuel predictive analytics in the NHS. Demand is so strong that data engineering has become one of the fastest-growing roles in the tech sector, with salaries reflecting its importance. But the story doesn’t stop here. As AI, quantum computing, edge intelligence, sustainability, and regulation reshape how we manage information, the role of data engineers will evolve dramatically. Many of the most important data engineering jobs of the next two decades don’t exist yet. This article explores why new roles are coming, what they might look like, how current jobs will change, why the UK is positioned to lead, and how professionals can prepare.

🍪 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.