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3 дня назад

Information Analyst (Student Number Planning and Forecasting)

38 784 - 46 049GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Information Analyst (Student Number Planning and Forecasting): Developing and maintaining statistical models, data infrastructure, dashboards, and reporting outputs for student registration forecasts with an accent on large-scale data analysis, forecast accuracy, and communicating uncertainty to stakeholders. Focus on building five-year student number forecasts, evaluating model performance, maintaining data integrity, and translating complex student data into actionable insight.

Location: Milton Keynes, United Kingdom; hybrid working with approximately one day per week in the office and additional attendance as required.

Salary: £38,784–£46,049 per year.

Company

hirify.global is the UK's largest university, providing flexible part-time higher education and conducting research to widen access to education.

What you will do

  • Deliver the monthly institutional student number forecasting process with the Senior Information Manager, reviewing assumptions, methodology and final forecast positions.
  • Analyse student number data from multiple sources and evaluate forecasting model performance to improve accuracy, business insight and process efficiency.
  • Operate, maintain and develop statistical forecasting models that reflect changes in student behaviour, funding arrangements and operational processes.
  • Produce forecast outputs, commentary and visualisations explaining movements, assumptions, risks, opportunities and uncertainty to stakeholders.
  • Work with data teams to maintain the integrity of systems, data architecture, sources, policies and definitions.
  • Support five-year student number planning, weekly reporting and analytical work that translates complex student data into clear conclusions and actionable insight.

Requirements

  • Relevant degree or equivalent higher education qualification with a strong mathematics or statistics element, or comparable-level work experience.
  • Experience building statistical models and data reports using statistical software, plus data visualisations using tools such as Tableau or Power BI.
  • Experience extracting, manipulating and interrogating large, complex datasets using SQL, SAS, Python or equivalent, and building production-grade dashboards in Power BI.
  • High-level expertise in Microsoft Office, particularly Excel, PowerPoint and Word.
  • Excellent oral and written communication and presentation skills, including the ability to translate complex arguments and proposals to inform and influence stakeholders.
  • Strong attention to detail in language and data, methodical working practices, sound judgement and the ability to manage competing priorities without compromising service quality.
  • Understanding of the institutional significance of Equality, Diversity and Inclusion metrics.
  • Excellent collaboration skills and the ability to build effective relationships with academic, technical, administrative and senior colleagues.
  • Ability to work independently to business-critical deadlines, respond flexibly to change and maintain a strong commitment to excellence when working with a diverse student population.

Nice to have

  • Experience with Microsoft Fabric or traditional Azure cloud data solutions.
  • Experience working in a Higher or Further Education planning environment.

Culture & Benefits

  • Flexible working arrangements, including hybrid, part-time, job-share and compressed-hours options subject to discussion.
  • Work-life balance policies and a range of staff benefits.
  • Work in an organisation focused on widening access to higher education and supporting a diverse student population.

Hiring process

  • Submit a CV and a supporting statement of up to 1,000 words addressing interest in the role and the essential requirements.
  • Face-to-face interviews are anticipated at the Milton Keynes campus during the week commencing 30 November 2026.

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