National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst

VIQU Limited
High Wycombe
4 weeks ago
Create job alert

Role: Data Analyst

Location: High Wycombe/Hybrid

Salary: £40,000 - £45,000 per annum

VIQU have partnered with a leading retail company who are currently recruiting for a data analyst to optimise their business by leveraging data driven insights. The role will focus on analytics on an existing Azure based data platform, and will include data extraction, cleaning, analysis, and visualisation whilst using SQL SSIS/SSRS software.

Responsibilities of the Data Analyst:


  • Identify trends by analysing data.
  • Collaborate with cross functional teams to deliver insights.
  • Build Power BI dashboards.
  • Extract, clean, and transform data from existing platforms (e.g., ERP, CRM, or
  • bespoke systems).
  • Help with designing and implementing pipelines for the Azure Data Lake.
  • Present data insights to non-technical audiences.


Requirements of the Data Analyst:


  • Previous experience working as a data analyst, driving actionable insights.
  • Experience using SQL (SSRS/SSIS) for managing databases.
  • Ability to manipulate data.
  • Knowledge of Azure data tools, including Data Lake, Data Factory, and Synapse
  • Analytics.
  • Experience with data visualisation tools like Power BI.
  • Strong communication and presentation skills.


Role: Data Analyst

Location: High Wycombe/Hybrid

Salary: £40,000 - £45,000 per annum

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

National AI Awards 2025

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.

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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.