Training Data Administrator

Horsham
3 weeks ago
Create job alert

Job Summary:
We are seeking a meticulous and detail-oriented individual to support a fixed-term project focused on data entry and cleansing within our Learning Management Systems (LMS). The primary objective is to review, update, and ensure the accuracy of our data, making it reliable, accessible, and well-organised. This role requires a keen eye for detail, strong problem-solving skills, and the ability to work efficiently across multiple digital platforms.

Key Responsibilities:

  • Data Entry & Management: Accurately input, update, and remove identified data within various systems to maintain a clean and well-structured database.

  • Data Cleansing & Validation: Review existing records to identify errors, inconsistencies, or outdated information and take corrective actions.

  • Error Resolution: Investigate and resolve data discrepancies by cross-referencing multiple sources and ensuring consistency.

  • System Navigation: Work across multiple digital platforms, including Learning Management Systems (LMS), databases, and Office 365 applications, to facilitate data updates.

  • Progress Reporting: Communicate regularly with the team, providing updates on completed tasks, challenges encountered, and overall project status.

  • Adherence to Data Standards: Ensure all data is handled securely and aligns with organizational data management policies.

    Requirements & Qualifications:

  • Attention to Detail: Exceptional accuracy in data entry and an ability to spot errors efficiently.

  • Problem-Solving Skills: Strong analytical skills to identify and resolve inconsistencies in data.

  • Technical Proficiency: Familiarity with database management systems, Learning Management Systems, and Office 365 (Excel, SharePoint, Teams, etc.).

  • Organisational Skills: Ability to manage workload effectively, prioritize tasks, and meet deadlines within the project timeline.

  • Communication Skills: Strong written and verbal communication to collaborate with the team and provide status updates.

  • Self-Motivation: Ability to work independently with minimal supervision while ensuring high standards of data accuracy.

    This is a great opportunity for an individual with strong data management skills who enjoys working with digital systems to improve data integrity. If you are a detail-driven professional with a passion for accuracy and efficiency, we encourage you to apply

Related Jobs

View all jobs

Master Data Administrator

Data Entry Administrator

HR Systems Administrator

Wealth Management Administrator

Civica Administrator - Inside IR35

Client Services Systems Administrator

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.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.