Data Analyst

Pontefract
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

DATA ANALYST - JOIN A MARKET LEADER!
The Company
Join a leading business committed to innovation, accuracy and operational excellence. We’re looking for a Data Analyst to support the management and quality of critical business data across multiple systems. This is a great opportunity to grow your skills in data analysis, mapping, and reporting within a collaborative and fast-paced environment.
What’s in It for You?
✨ Competitive salary of £35k – £45k + generous benefits
✨ Hybrid working available
✨ Hands-on experience with real-world data challenges
✨ Supportive team environment with opportunities to learn and grow
✨ Work for a dynamic, forward-thinking manufacturing company
✨ Exposure to multiple systems and business functions
The Role
As a Data Analyst you'll play a key role in maintaining the quality, consistency and accuracy of business data. You’ll help ensure that master data is reliable and aligned across systems, working closely with stakeholders to support day-to-day data operations and analysis.
Key Responsibilities:

  • Maintain accurate and consistent master data across multiple business systems
  • Monitor data quality, validate accuracy and resolve inconsistencies
  • Assist in capturing, cleansing, and maintaining standing data
  • Develop and follow structured procedures for data collection and recording
  • Create and maintain data mapping records between systems
  • Use Microsoft Access and SQL to manipulate datasets, run queries and support reporting
  • Provide first-line user support for data-related queries and troubleshooting
  • Document data issues, system updates, and structural changes
  • Support the production of regular data reports and performance insights
  • Identify trends and contribute to continuous improvement of data processes
    What We’re Looking For:
  • Previous experience in a data-focused role (Data Analyst, Data Administrator, or similar)
  • Strong numeracy and analytical skills with attention to detail
  • Proficiency in Excel, Microsoft Access and SQL for data manipulation and reporting
  • Understanding of data quality principles and ability to identify/correct data issues
  • Experience working with large datasets and linking data across systems
  • Strong communication skills with the ability to explain data concepts clearly
  • Self-motivated and able to work independently
  • Familiarity with ERP systems or business applications is a plus
  • Basic understanding of data integration processes is beneficial
    JS Recruitment UK Ltd acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. As soon as a decision has been reached, we will contact shortlisted applicants. If you are shortlisted, JS Recruitment UK Ltd will collect your personal data (which may include sensitive personal data). JS Recruitment UK Ltd will process your personal data for the purposes of providing you with work-finding services and/or information relating to roles relevant to you. We will only use your personal data in accordance with the terms included in the privacy notice which can be viewed on our website.
    Unfortunately, due to the high volume of applications we receive we are unable to notify unsuccessful applicants.
    JS Recruitment is committed to promoting equality of opportunity for all. Applications from individuals are encouraged regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity.
    KEYWORDS: Data Analyst, Data Administrator, Master Data

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!