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EnSpire Data Analyst

University of Oxford - Innovation & Engagement Department - Robert Hooke Building

Location: Oxford, Hybrid
Salary: £38,674 to £46,913 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 6th November 2024
Closes: 15th November 2024
Job Ref: 176358

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.

About the Role

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.

About You

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

Application Process

You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application.

The closing date for applications is 12 noon on Friday 15 November 2024

Interviews will take place on  Thursday 28 November and will be face to face

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