Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst (Education) Growth

Wilmslow
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Administrator (Education) Growth

Wilmslow (Onsite)

£26,000 to £28,000 DOE + Company Benefits + 25 Holiday Days + Pension

Are you an aspiring Data Administrator who wants to develop into a data analyst while working in a supportive environment while being part of a close-knit team?

Do you want the opportunity to further your career, develop your data skills while working for a school who value their people and where you will play an integral part to assist the team manage their data correctly?

On offer is the opportunity to join a private school who are well known and respected in the area, who provide a supportive and team-based environment, where each member of staff can have an impact on the business.

In this role you will assist in the day-to-day management of the school's MIS, ensuring accuracy and integrity of data, assist in providing reports for senior leadership, provide support to teaching and support staff on use of MIS and other data systems as well as ensuring adherence to GDPR and school data policies.

The ideal candidate is commutable to Wilmslow, works with MIS, experience in data handling and analysis tools, understands GDPR regulations, and a collaborator with good organisational and communication skills.

THE ROLE:

Day-to-day management of the school's MIS,
Ensuring accuracy and integrity of data,
Assist in providing reports for senior leadership,
Provide support to teaching and support staff on use of MIS.THE PERSON:

Data systems and MIS Experience (iSAMS)
Data handling and analysis tools
GDPR understanding and implementation.
Able to travel to Wilmslow.
Based onsite 8h00-16h00 Key words: data administrator, data analyst, MIS, GDPR, data support, data accuracy, Wilmslow

Reference number: BBH16869

If you are interested in this role, click 'apply now' to forward an up-to-date copy of your CV.

We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set.

Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at 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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.