At a Glance
- Tasks: Lead data analysis to enhance research performance and support strategic decision-making.
- Company: The University of Manchester, a vibrant hub for education and research.
- Benefits: Generous pension, 29 days leave, flexible working, and a supportive community.
- Other info: Join a dynamic team focused on innovation and collaboration in higher education.
- Why this job: Make a real impact on research strategy while working in a diverse and inclusive environment.
- Qualifications: Experience in business intelligence and strong communication skills are essential.
The predicted salary is between 45000 - 55000 £ per year.
The University of Manchester is recruiting a Lead Data Analyst (Research) to strengthen business intelligence and analytical capability to support the university to understand research performance against our strategy, support strategic decision-making and progress institutional readiness for external assessment exercises for research (e.g. Research Excellence Framework).
Strong stakeholder management and the ability to demonstrate the value of business intelligence will be key to fostering understanding, influencing direction and facilitating adoption to ensure that our service and new approaches meet the needs of stakeholders across the University.
You will be passionate about data and bring significant experience of design, build and deployment of business intelligence in Higher Education. You will have excellent people and communication skills with the ability to influence and challenge as well as strong problem solving and organisational capabilities to ensure project delivery. You'll be curious, conscientious, and customer focused.
You will be part of the Directorate of Research and Business Engagement which supports the ongoing development of strategy and policy for the University's research and business engagement activities and will work in close partnership with the Research Committee and colleagues across Faculties and Professional Services.
We value transferable skills and real-world experience as much as formal qualifications.
Our benefits include:
- Generous employer contribution pension
- 29 days annual leave plus bank holidays, along with Christmas closure
- Ride to work and EV car scheme available
We are an open place of enquiry and challenge. We embrace and celebrate difference, diversity and debate, and we pride ourselves on being a place of education, learning and community where we are able, within the law, to question and test received wisdom, express new ideas and explore controversial or unpopular topics and opinions.
This role is not eligible for Skilled Worker visa sponsorship. Applicants must demonstrate the right to work in the UK.
Lead Data Analyst (Research) in Manchester employer: Diversity Dashboard
Diversity Dashboard is an exceptional employer that prioritises inclusivity and professional growth, making it an ideal place for those passionate about tackling inequality and poverty. With a flexible working environment in the vibrant city of Edinburgh, employees benefit from a supportive work culture that encourages collaboration and continuous learning, ensuring that every team member can thrive in their role while making a meaningful impact in the community.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst (Research) in Manchester
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We think you need these skills to ace Lead Data Analyst (Research) in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Diversity Dashboard. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Diversity Dashboard
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
