Senior Data Analyst

at  Study Group

Contract type: Full Time (37.5 hours per week) - Permanent
Location: Brighton Head Office (Remote working)
Join our team as an Analytics Support Specialist, dedicated to providing crucial support to key business areas. Your role will involve delivering insightful management information to a diverse range of internal and external stakeholders. A pivotal aspect of this position is the ability to collaborate effectively with stakeholders at all organizational levels, translating their requirements into both technical and non-technical deliverables. As an integral team member, you will play a key role in advancing Study Group’s transition to a more data-driven culture, all while supporting data governance initiatives.

ABOUT US

Study Group is a leading international education provider that is dedicated and passionate about helping students around the world, creating a brighter future and reaching their full potential. With university partnerships and a variety of face-to-face, online, and hybrid study programmes, we can provide students with the resources and guidance they need to succeed. Our global network of offices and university partnerships ensure that students receive the best educational services available. Additionally, our Insendi platform enables us to deliver innovative, accessible, and intuitive digital learning experiences with the most advanced digital tools available.

• Undertake simple and complex statistical analysis of a variety of different datasets whilst producing (and monitoring) performance measures, modelling scenarios and outcomes as necessary, for a variety of stakeholders across the organisation. This will include internal and external data and the use of quantitative and qualitative analytics techniques. Data quality checks and screening are often necessary as is the ability to provide quality assurance regarding: imported data.
• Derive insights and explain/interpret trends identified, and their implications which can include presenting findings to stakeholders. This will involve preparing and leading on reports and producing suitable metrics which are appropriately benchmarked. An integral component of the role is ensuring that data is fully understood and utilised appropriately, providing further information or context as required, and training end users on new reports and dashboards.
• Manage and design the reporting environment, working to identify areas to increase efficiency and automation of processes, whilst establishing and maintaining automated data processes. This will involve working with the Data Architecture Team around the data lake by identifying and revising reporting requirements. Will need to develop and maintain MI/data reports and dashboards. Reports often must be generated from multiple systems and some data integration work will be required. Also, there is a responsibility to maintain documentation relating to reports and dashboards.
• Create appropriate data visualisations, utilising PowerBI, Tableau and other appropriate tools like R, all in service of providing an accessible way to see and understand trends, outliers, and patterns in data.
• Manage complex data-related projects and the production of data products from their inception to conclusion, including those involving complex data modelling and forecasting. This will include supporting initiatives for data integrity and normalisation.
• Support ad hoc requests for data.
• Process confidential data and information according to guidelines, with a complete understanding of GDPR and the Data Protection Act and the implications for the work – advising stakeholders as appropriate.
• Work collaboratively with other colleagues to share knowledge and understanding of data analysis tools and techniques to ensure that data is effectively used. This will also involve informing discussions on appropriate systems, databases, platforms, software and data tools – especially in relation to data and analytics requirements for new systems (or upgrades to existing systems).
• Play a central role in encouraging better data literacy within the Study Group and help foster a data culture across the organisation. This includes advocating for better use and management of data at Study Group.