Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный фокус на прогнозировании и заметное влияние на планирование университета, а гибкий формат обозначен явно; при этом работа привязана к офису в Великобритании и включает регулярную отчетность к срокам.
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Жесткие срокиАктуальный стекПонятная зона ответственностиГибкий формат
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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