Data Entry Operator

Fernhill Heath
1 year ago
Applications closed

Related Jobs

View all jobs

Energy Data Scientist: AI-Driven Grid Innovation

QC Data Analyst

Data Analyst Inside IR35

Data Analyst - Contract

Data Analyst, People Teams - Belfast

Data Architect

Job Title: Data Entry Operator
Location: Worcester office
Working Hours: Monday to Friday, 8:30 am to 5:00 pm
Salary: £24,500 per annum
Contract: Permanent

Main Tasks & Responsibilities: As a Data Entry Operator, you will be responsible for the accurate and efficient management of data within our systems. Your primary tasks will include:
Cross-referencing and Correcting Data:

Ensure accuracy and consistency by cross-referencing data across multiple systems.
Identify and correct discrepancies to maintain data integrity.Issue Reporting:

Report data-related issues to the relevant departments promptly.
Collaborate with teams to address and resolve identified problems.Personal Skills Required: To excel in this role, the ideal candidate should possess the following skills and qualifications:
High Attention to Detail:

Meticulous in data entry to avoid errors and maintain accuracy.Experienced in Data Input and Checking:

Proven track record of handling data entry tasks efficiently.
Ability to perform thorough data checks for quality assurance.Technically Minded:

Comfortable working with various software and systems.
Quick to adapt to new technologies and tools.Problem Solver/Troubleshooting:

Capable of identifying and resolving data-related issues independently.
Strong troubleshooting skills to address challenges proactively.Experienced in ERP, WMS, CRM Systems:

Familiarity with Enterprise Resource Planning (ERP), Warehouse Management Systems (WMS), and Customer Relationship Management (CRM) systems.
Proficient in navigating and utilizing these systems for data entry and retrieval.Good Understanding of Business Processes (Basic):

A foundational understanding of business processes to comprehend the context of the data being handled.
Ability to align data entry tasks with overall business objectives.If you are a detail-oriented individual with a technical mindset, experienced in data management, and possess the ability to troubleshoot and collaborate effectively, we invite you to apply for this position. Join our team and contribute to maintaining the highest standards of data accuracy and reliability within our organization

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.

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.

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.

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.