Data Analyst and Systems Implementation Owner

Dollar Academy
Dollar
1 month ago
Applications closed

Related Jobs

View all jobs

IBP Data Analyst

Data Governance Lead

Systems and Data Analyst (Milton Keynes, ENG, GB, MK7 6AA)

Data Analyst - Associate Director - Belfast

Data Analyst

Data Analyst

Dollar Academy, Scotland’s Sunday Times Independent School of the Year 2024 and Education Insider's Top Private School in Europe 2025, is looking to appoint an exceptional Data Analyst and Systems Implementation Owner.

Dollar Academy is a fast-paced and exciting place to work. There is always something new on the go; we drive ourselves hard to achieve excellence in all areas for the benefit of our entire community, but especially for our pupils.

As our unofficial motto has it: Work hard, be kind, get involved.

AN INTRODUCTION TO DOLLAR ACADEMY

Dollar Academy has been a co-educational day and boarding school since its foundation in 1818. Today, it provides an exceptional all-round education to around 1,30 pupils aged 5-18. Our focus is on encouraging the individual talents and ambitions of every young person, in a positive and supportive environment that fosters the development of transferable skills, self-confidence and strong personal values. A belief in developing the whole person is central to the Dollar ethos.

The school’s location is undoubtedly one of the most scenic in the country, set against the Ochil Hills and the historic Castle Campbell, but within easy reach of the major towns of the Central Belt and just 40 minutes from Edinburgh Airport. With around 1300 pupils and 250 staff from Scotland and around the world, the Dollar community is welcoming and vibrant. The whole school sits within a single, stunning 70-acre campus.

The school is in a strong financial position, with no debt.

For more information, please visit the website: www.dollaracademy.org.uk

ROLE DESCRIPTION

Reporting to the Director of IT and Assistant Rector (Academic) the Data Analyst and Systems Implementation Owner operates and maintains the school Academic MIS system (iSAMS), the Financial Database (WCBS PASS Finance) and connections to all 3rd party systems.

A full job description is available on our website.

SALARY & BENEFITS

This post is full time, all year round and permanent, with a competitive remuneration package which includes access to the Local Government Pension Scheme, reduction on school fees, personal accident and life insurance cover, and free access to facilities including the school’s pool, gym, and EAP and retailer discount scheme.

APPOINTMENT PROCESS & HOW TO APPLY

Applicants should visit www.dollaracademy.org.uk/work-at-dollar/ to begin the application process.

The closing date for applications is Friday 23rd January 2026.

All appointments are subject to receipt of a satisfactory PVG Scheme Record or Scheme Record Update from Disclosure Scotland.

Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Primary and Secondary Education

We’re committed to equal opportunities in employment and to safeguarding and promoting the welfare of children. This role may require a PVG Scheme check where applicable.


#J-18808-Ljbffr

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.

Careers

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.

Jobs

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.

Education

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.

🍪 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.