Attendance Administrator

Sutton on Hull
1 week ago
Create job alert

Attendance administrator
HU8 Area of Hull
£13.05 per hour
08.00 - 16.00 Monday to Friday
Child work force DBS is required

Responsible for managing and tracking employee or student attendance records, ensuring accurate data entry, analysing attendance patterns, communicating with individuals regarding absences, and implementing strategies to improve overall attendance levels within an organisation or school, often including tasks like contacting parents/guardians regarding student absences and maintaining compliance with relevant attendance policies.

Key responsibilities of an attendance administrator may include:

Data entry and record keeping:
Accurately recording daily attendance data into a system, including reasons for absences and late arrivals.

Attendance analysis:
Regularly reviewing attendance reports to identify trends, patterns, and areas of concern.

Communication with stakeholders:
Contacting employees or parents/guardians to inquire about absences, provide reminders about attendance policies, and discuss support options.

Absence management:
Following established procedures for reporting absences, documenting medical documentation, and managing excused/unexcused absences.

Reporting and documentation:
Generating attendance reports for management, including summaries of overall attendance rates, chronic absenteeism, and other key metrics.

Compliance with policies:
Ensuring adherence to company or school attendance policies, including reporting potential violations to relevant authorities.

Intervention strategies:
Collaborating with other departments to provide support to individuals with poor attendance, such as developing attendance improvement plans or coordinating with employee assistance programs.

System administration:
Maintaining and updating the attendance tracking system, including troubleshooting issues and ensuring data integrity.

Required skills for an attendance administrator:

Attention to detail: Ability to accurately record and maintain detailed attendance data.

Data analysis skills: Interpreting attendance patterns and identifying trends to inform decision-making.

Communication skills: Effectively communicating with employees, students, parents, and management regarding attendance concerns.

Organisational skills: Managing large volumes of attendance data and maintaining organised records.

Problem-solving skills: Identifying root causes of attendance issues and developing appropriate interventions.

Proficiency with technology: Familiarity with attendance tracking software and data management systems. If you are interested and meet the above criteria, please send your CV to (url removed) or call the Commercial team on (phone number removed) if you have any queries.

Please note: Prestige Recruitment is an equal opportunity employer with 30 years of service within the recruitment & staffing sector

Related Jobs

View all jobs

LMS Administrator

Systems Analyst

Senior Business Support Assistant

Senior Platform Engineer

Kronos Analyst

FP&A 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.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

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.