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For Companies At a Glance
- Tasks: Support the Research and Innovation team by maintaining data quality and providing user training.
- Company: Join Queen Mary University of London, a hub for diverse ideas and academic excellence.
- Benefits: Enjoy competitive pay, 30 days leave, flexible working, and professional development opportunities.
- Why this job: Be part of a dynamic team that values diversity and fosters original thought in research.
- Qualifications: Experience with datasets and data cleaning is essential; interest in higher education data is a plus.
- Other info: Flexible working options available; we support candidates with disabilities throughout the recruitment process.
The predicted salary is between 33400 - 45800 £ per year.
About the Role
This role is to provide technical support to the Research and Innovation Analysis and Planning Team. You will help maintain the quality of data in our grant management systems and provide training and support to the system users.
This post sits within the Research and Innovation Analysis and Planning Team, a friendly and collegiate team at the heart of a busy and dynamic Research Services directorate.
About You
You will have experience in working with datasets, particularly in data cleaning and transformation. You will have experience of maintaining work relationships with stakeholders from different backgrounds and varying levels of expertise in data. You will have an interest in higher education data and statistical returns such as REF, though experience of these is not necessary.
About Queen Mary
At Queen Mary University of London, we believe thata diversity of ideas helps us achieve the previously unthinkable.
Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.
We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professionaldevelopment opportunities. In addition, weoffer a range of work life balance and family friendly, inclusive employment policies, campus facilities and flexible working arrangements.
Queen Mary’s commitment toour diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Valuing Diversity & Committed to Equality.
Closing Date:03/08/2025, 23:55
£39,463 to £45,974 per annum
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Research and Innovation Data Officer employer: Queen Mary University of London
Contact Detail:
Queen Mary University of London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research and Innovation Data Officer
✨Tip Number 1
Familiarise yourself with the specific data management systems used in research and innovation. Understanding the tools and software commonly employed in grant management will give you a significant edge during interviews.
✨Tip Number 2
Network with professionals in the higher education sector, especially those involved in research data management. Engaging with them can provide insights into the role and may even lead to valuable referrals.
✨Tip Number 3
Showcase your ability to work collaboratively by highlighting any past experiences where you've successfully engaged with diverse stakeholders. This is crucial for the role, as maintaining relationships is key.
✨Tip Number 4
Stay updated on current trends and challenges in higher education data management. Being knowledgeable about recent developments will demonstrate your genuine interest in the field and your commitment to continuous learning.
We think you need these skills to ace Research and Innovation Data Officer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the key responsibilities and required skills for the Research and Innovation Data Officer position. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Experience: Emphasise your experience with datasets, particularly in data cleaning and transformation. Provide specific examples of past projects or roles where you successfully managed data and collaborated with stakeholders.
Show Interest in Higher Education Data: Even if you lack direct experience with higher education data and statistical returns, express your interest in this area. Mention any relevant coursework, research, or personal projects that demonstrate your enthusiasm for the field.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarises your CV but also conveys your passion for the role and the values of Queen Mary University. Make sure to address how you can contribute to their commitment to diversity and inclusion.
How to prepare for a job interview at Queen Mary University of London
✨Showcase Your Data Skills
Be prepared to discuss your experience with datasets, particularly in data cleaning and transformation. Highlight specific examples where you've successfully managed data quality, as this is crucial for the role.
✨Understand Stakeholder Engagement
Demonstrate your ability to maintain relationships with diverse stakeholders. Share experiences where you've effectively communicated complex data concepts to individuals with varying levels of expertise.
✨Express Your Interest in Higher Education Data
Even if you lack direct experience with REF or similar statistical returns, show enthusiasm for higher education data. Research current trends and challenges in the sector to discuss during the interview.
✨Emphasise Team Collaboration
Since the role is within a friendly and collegiate team, highlight your teamwork skills. Provide examples of how you've contributed to a positive team environment and collaborated on projects in the past.
