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

Nominate & Attend

Data Analyst

North Elmsall
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.