EnSpire Data analyst
University of Oxford, Oxford
EnSpire Data analyst
£46913
University of Oxford, Oxford
- Full time
- Permanent
- Onsite working
Posted today, 1 Nov | Get your application in now to be one of the first to apply.
Closing date: Closing date not specified
job Ref: 726e739e29264b57b8b368d841e90bf8
Full Job Description
The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. Department: what do you do? The Innovation & Engagement Department at the University of Oxford is dedicated to fostering a culture of entrepreneurship, innovation and engagement with research. The department supports researchers and entrepreneurs in developing and implementing strategies that promote entrepreneurship, knowledge exchange and public engagement. By collaborating with local authorities, industry partners, communities and the public, and academic colleagues, the department aims to make Oxfordshire a top global innovation ecosystem, ensuring that the University's research and entrepreneurial activities have a significant impact on society. One sentence summary of job Join the University of Oxford's Innovation & Engagement Team as a Data Analyst to drive data-driven insights and support diversity initiatives. What We Offer As an employer, we genuinely care about our employees' wellbeing and this is reflected in the range of benefits that we offer including:
- An excellent contributory pension scheme
- 38 days annual leave
- A comprehensive range of childcare services
- Family leave schemes
- Cycle loan scheme
- Discounted bus travel and Season Ticket travel loans
- Membership to a variety of social and sports clubs This role also offers the opportunity for hybrid working, As the Data Analyst (Innovation & Engagement), you will be a crucial member of the University of Oxford's Innovation & Engagement (I&E) Team. You will focus on analysing data within the University's entrepreneurial ecosystem and supporting the Increasing Diversity in Enterprising Activities (IDEA) programme. You will work closely with partners across the University and beyond to collect, compare, and interpret data, contributing to the University's efforts to foster a more inclusive entrepreneurship environment. Additionally, you will support the wider I&E Team's data collection and analysis, including Knowledge Exchange and Public and Community Engagement with Research. In this role, you will develop data analytics and reporting mechanisms, benchmarking standards, and support the evaluation of initiatives. Your strong analytical skills, attention to detail, and ability to work independently on complex data projects will be essential. You will prepare detailed reports and presentations on diversity data, communicate findings and recommendations to stakeholders, and collaborate with other teams to integrate data insights into EDI initiatives. You will also be responsible for ensuring data accuracy and integrity, developing and maintaining databases and reporting mechanisms, and providing data-driven insights to support decision-making. Your proactive approach to problem-solving and commitment to continuous improvement will be key to your success in this role.
You will have strong numerical and analytical skills, with experience in data analysis. You will be proficient in collecting, synthesising, and interpreting large volumes of complex data using appropriate tools such as Python, R, Excel, and PowerBI. You will know how to develop and maintain databases (e.g., SQL) and reporting mechanisms, and have excellent attention to detail and accuracy. You will be able to communicate data findings effectively to diverse audiences, work independently and manage data projects, and organise tasks and prioritise effectively to meet deadlines. You will use data analysis tools and software proficiently. It would be beneficial, but not essential, if you understand the University research and knowledge exchange environment, have experience in supporting EDI initiatives, are familiar with the Oxford University ecosystem, and know data protection regulations and best practices