Data Analyst

Pontefract
9 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.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.