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

Nominate & Attend

Data Analyst

North Elmsall
3 weeks ago
Create job alert

DATA ANALYST – FOCUS ON DATA QUALITY & INTEGRITY | JOIN A MARKET LEADER!
The Company
Join a highly respected, forward-thinking manufacturing business that puts accurate, consisten, and well-managed data at the heart of its operations. We are seeking a Data Analyst who is passionate about data integrity, structured data management, and process-driven quality control. This is your chance to play a crucial role in shaping and maintaining the foundation that drives informed decision-making across the organisation.
As this role is a minimum 3 days in the office and 2 days work from home once the role is established, applicants must be located within a reasonable commute of the WF9 postcode near Pontefract.
Why You’ll Love This Role


  • 💼 £35k–£45k + excellent benefits

  • 🏠 Hybrid working - 3 days in the office and 2 days from home (once established in the role)

  • 🚀 Real impact – ensure data reliability at every level

  • 🧠 Work alongside data-focused professionals who value precision and structure

  • 🔧 Hands-on with real-world data from critical business systems

  • 📈 Join a company that values operational excellence and continuous improvement

Your Impact
As a Data Analyst, your focus won’t be dashboards or BI tools—you’ll be the guardian of our master data. Your mission: ensure that data across systems is clean, consistent, well-maintained, and supports seamless business operations. You’ll work cross-functionally to embed data governance, monitor accuracy, and support the day-to-day integrity of core business data.
Key Responsibilities


  • Maintain and enforce standards for clean, structured master data across multiple platforms

  • Proactively monitor and resolve data integrity issues, duplicates, and misalignments

  • Manage and document data flows, mappings, and lineage between systems

  • Apply rigorous procedures to capture, cleanse, and validate incoming data

  • Use Microsoft Access and SQL to support internal data maintenance and ad-hoc queries

  • Serve as a key point of contact for data-related queries, discrepancies, and root-cause analysis

  • Collaborate with system owners and business teams to improve data governance practices

  • Track changes to data structures and provide clear documentation and version control

  • Contribute to process improvements in data lifecycle management

What You’ll Bring


  • Experience in data-centric roles such as Data Analyst, Data Quality Analyst, or Data Steward

  • Strong attention to detail and a methodical approach to data management

  • Skilled in Excel, Access, and SQL for data validation and investigation

  • Solid understanding of data quality principles, standardisation, and governance

  • Comfortable working with large, complex datasets across systems

  • Strong communicator who can liaise across departments to resolve data issues

  • Familiarity with ERP or enterprise systems and data maintenance routines

  • Knowledge of data integration, mapping, or master data management is a plus

This Role Is For You If…
✅ You care deeply about clean, consistent, reliable data
✅ You enjoy solving data problems at the source—not just visualising results
✅ You’re process-driven, detail-focused, and thrive in structured environments
✅ You want to support a company where data is operationally critical

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.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.