Data Analyst

Pontefract
10 months 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

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.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

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

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

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

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.