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

Apply Now

Data Officer

Farnborough
4 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

My client is a School in Farnborough, currently seeking a Data Officer on a part-time basis, Mon-Fri, 9.30am -2.30pm. 20 hours per week.
The School is an inclusive and growing special school supporting pupils aged 2–19 with complex needs across multiple sites. We are looking for a bright, proactive and solution-focused Senior Administrative Officer (Systems) to lead and coordinate the wide range of digital systems that support our pupils, staff, and leadership team every day.
This is more than just a data role – we’re looking for someone who brings energy, curiosity and a can-do attitude to everything they do.
Your Core Responsibilities Will Include:

  • Managing and supporting the use of a range of core systems, including but not limited to:
    • Arbor (MIS) – data accuracy, attendance, census, reports, permissions, third-party integrations
    • CPOMS – safeguarding and pastoral oversight, access, support and reporting
    • BlueSky – staff CPD, performance management, and whole-school training tracking
    • Survey tools – such as Teacher Tapp, parental feedback, and internal audits
    • Internal tracking tools – such as EHCP provision maps, intervention spreadsheets and resource allocation logs
  • Leading data integrity, user access, compliance, and system improvements
  • Supporting staff across the school with effective use of systems and identifying training needs
  • Developing digital processes that reduce workload and improve consistency
  • Ensuring all systems support high-quality, evidence-informed decision making at all levels of the school
    Please note: this list is not exhaustive. You will work with an evolving suite of platforms – so adaptability and a willingness to learn are key.
    We’re Looking For Someone Who:
  • Has strong administrative and systems experience – ideally in a school, but other sectors welcome
  • Can confidently navigate digital platforms and proactively learn new systems
  • Is highly organised, methodical, and values accuracy and confidentiality
  • Brings a solution-focused mindset, looking for improvements rather than problems
  • Communicates clearly and lifts the energy of those they work with
  • Can manage competing priorities, meet deadlines, and support others with warmth and professionalism
  • Has experience with Arbor, CPOMS, or BlueSky – or a readiness to train in them
    Apply now if you have suitable experience. Hybrid working available

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

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 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.