At a Glance
- Tasks: Use data and analytics to enhance decision-making and improve strategies at Queen Mary.
- Company: Join a diverse and inclusive university committed to excellence in data and analytics.
- Benefits: Enjoy competitive salary, generous leave, flexible working, and professional development opportunities.
- Other info: Be part of a dynamic team that values collaboration and innovation.
- Why this job: Make a real impact by transforming data into actionable insights for the university.
- Qualifications: Experience with data visualisation tools and strong analytical skills are essential.
The predicted salary is between 35000 - 45000 £ per year.
As a member of the Strategic Planning Office, the post holder will use their relationship building, data and analytical skills and understanding of the HE sector to work with colleagues in both academic departments and in professional services to help them make the most of available data, to improve data quality, make evidence based decisions and to enhance Queen Mary’s strategy and planning processes.
Candidates are expected to have experience of extracting and transforming data from records systems, experience visualising and presenting management information for a wide audience and experience using data visualisation software such as PowerBI, Tableau, Qlikview. It is essential for candidates to be competent in Alteryx, KNIME, advanced Excel, SQL, programming or similar and a high level of skill and ability in producing, interpreting and presenting complex data and information.
This role is based in the Data and Analytics Team within the Strategic Planning Office, which supports the University in using data and information to drive improved performance and decision making. The Data and Analytics Team is a centre for excellence in analytics and dashboard design. It works closely with colleagues in IT Services to deliver first rate systems for manipulating and delivering data to users and provides analysis and insight to support decision making across the university.
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 professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.
Queen Mary’s commitment to our 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.
Planning Analyst (Data & Analytics) in London employer: Queen Mary University of London
Queen Mary University offers an exceptional work environment for a Planning Analyst, characterised by a strong commitment to data-driven decision making and a culture of collaboration across academic and professional services. Employees benefit from competitive salaries, generous leave, and extensive personal and professional development opportunities, all within a diverse and inclusive community that values work-life balance and flexible working arrangements. The presence of on-site facilities, such as a nursery, further enhances the appeal of working at our Mile End campus.
Contact Details:
Queen Mary University of London Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Planning Analyst (Data & Analytics) in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, or even reach out to alumni from your university. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your data visualisation skills and experience with tools like PowerBI or Tableau. Share examples of how you've used these skills to drive decisions in past roles.
✨Be Ready for the Interview
Prepare for common interview questions related to data analytics and be ready to discuss your experience with SQL, Alteryx, and advanced Excel. Practise explaining complex data concepts in simple terms – it shows you really understand your stuff!
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Planning Analyst (Data & Analytics) in London
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your experience with data extraction and transformation. We want to see how you've used tools like Alteryx, SQL, or advanced Excel in your previous roles. Don’t just list them; give us examples of how you’ve made a difference with data!
Visualisation is Key:Since this role involves presenting data to a wide audience, showcase your skills in data visualisation software like PowerBI or Tableau. Include specific projects where you’ve created impactful dashboards or reports that helped drive decisions.
Tailor Your Application:Take the time to tailor your application to our job description. Use the same language we use and connect your experiences directly to what we’re looking for. This shows us you understand the role and are genuinely interested in joining our team.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Queen Mary University of London
✨Know Your Data Tools
Make sure you brush up on your skills with Alteryx, KNIME, and data visualisation software like PowerBI or Tableau. Be ready to discuss specific projects where you've used these tools to extract, transform, and present data effectively.
✨Showcase Your Analytical Skills
Prepare examples that highlight your ability to analyse complex data and make evidence-based decisions. Think of situations where your insights led to improved outcomes, and be ready to explain your thought process.
✨Build Relationships
Since this role involves working closely with various departments, think about how you can demonstrate your relationship-building skills. Share experiences where collaboration led to successful data-driven projects.
✨Understand the HE Sector
Familiarise yourself with current trends and challenges in the higher education sector. Being able to discuss how data can enhance strategy and planning processes will show your genuine interest and understanding of the role.
