Data Analyst

Pontefract
3 weeks ago
Create job alert

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

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.