Student Data and Management Information Officer

London
10 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Analyst

Head of Business Intelligence & Reporting

Data Governance & Enablement Manager

Data Analyst Training Course (Excel, SQL & Power BI)

Data Analyst Training Course (Excel, SQL & Power BI)

Head of Business Intelligence & Data Analytics

Job Advertisement: Student Data and Management Information Officer

Join a vibrant team dedicated to the world of higher education! Our client, a prestigious institution in London, is seeking a dynamic and detail-oriented Student Data and Management Information Officer to enhance student data quality and support effective data management.

Position Details:

Contract Type: Permanent

Working Pattern: Full Time

Salary: £36,950

Hours: 35 hours per week

What You'll Do:

Data Analysis & Reporting:

Support the production and submission of statutory student data returns to external agencies such as HESA and OfS.
Create and maintain reports and documents for internal committees and boards.
Champion student data quality by ensuring compliance with statutory standards.
Generating Improvement:
utilise your expertise to identify issues and areas for process improvement.
Promote best practises in data accuracy and business processes.
Customer/Service Support:
Handle queries and provide timely support, ensuring a customer-focused approach.
Proactively resolve issues to minimise service disruptions.
Planning & Organisation:
Take charge of your specific area, setting long-term objectives and making informed decisions.
Manage or contribute to projects that align with organisational goals.Communication & Collaboration:

Build strong relationships within Student and Academic Services, and with external partners.
Represent the organisation at external meetings, addressing sector-wide issues.
Student Records System (SITS):
Maintain system base data and processes, coordinating User Acceptance Testing (UAT).
Act as a SITS "Superuser," providing training and developing user documentation.
Other Systems (CELCAT, SEAtS):
Assist with annual academic timetable integration and attendance monitoring data.What We're Looking For:

A proactive problem solver with a knack for data management.
Strong organisational skills and the ability to manage multiple projects.
Excellent communication skills, both written and verbal.
Experience with data analysis and reporting, ideally in a higher education setting.
Familiarity with SITS, CELCAT, or SEAtS is a plus!

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

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.