Senior Data Specialist

Portsmouth
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - IFRS / Credit Risk Modelling

Data Science Graduate

Senior Data Science Consultant

Senior Data Science Consultant – Econometrics specialist

Senior Data Science Consultant – Econometrics specialist

Senior Data Science Consultant – Econometrics specialist

Data Specialist

Portsmouth (Hybrid max 2 days remote)

Salary: £50,000 - £60,000

About the Role
We are seeking a skilled and proactive Data Specialist to lead the governance, integrity, and optimisation of business data, while driving the effective use of Artificial Intelligence (AI) and data tools across the organisation. This is a pivotal role focused on transforming data into actionable insights and supporting smarter business decisions.

Key Responsibilities:

Data Management

Ensure data accuracy, integrity, and security in compliance with GDPR and other data governance standards.
Extract, clean, and transform large datasets from multiple sources to identify patterns and opportunities for improvement.
Administer tools such as Power BI, SharePoint, Data Warehouses/Lakes, and data management platforms, including Large Language Models (LLMs).Reporting & Analysis

Automate workflows and business processes using tools such as Power Automate or UI Path to enhance efficiency.
Develop and maintain reporting capabilities using Power BI over a SQL-based data warehouse, supporting ETL improvements and extending analytics functionality.
Deliver clear, actionable reports, dashboards, and data visualisations to support decision-making.Collaboration & Cross-functional Support

Work closely with departments to understand data needs, gather reporting requirements, and create meaningful visualisations.
Provide expertise to improve the use and understanding of data throughout the organisation.Skills & Experience:

Proficiency in SQL, Python, and PowerQuery.
Hands-on experience with Power BI or similar business intelligence tools.
Knowledge of Azure Data Factory or Microsoft Fabric preferred.
Familiarity with machine learning platforms and AI algorithms is a plus.
Disclaimer:

This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.