At a Glance
- Tasks: Create stunning data visualisations and manage reporting processes for impactful insights.
- Company: Leading research organisation in Swindon with a focus on innovation.
- Benefits: Competitive salary, hybrid working model, and support for personal development.
- Why this job: Join a dynamic team and contribute to exciting machine learning projects.
- Qualifications: Degree or equivalent experience with strong technical and collaboration skills.
- Other info: Enjoy a great work-life balance while advancing your career.
The predicted salary is between 28800 - 48000 Β£ per year.
A leading research organization in Swindon is seeking a data analyst to join their Business Insight and Performance Team. The role involves publishing data visualizations, managing reporting processes, and supporting machine learning projects.
Applicants should have:
- A degree or equivalent experience
- Strong technical skills
- The ability to work collaboratively
This position offers a hybrid working model and a competitive salary package, supporting both personal development and work-life balance.
Data & Performance Analyst - Hybrid Dashboards & Insights in Swindon employer: UK Shared Business Services Ltd
Contact Detail:
UK Shared Business Services Ltd Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data & Performance Analyst - Hybrid Dashboards & Insights in Swindon
β¨Tip Number 1
Network like a pro! Reach out to current or former employees of the organisation on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
β¨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data visualisations and reporting processes. This will help us stand out during interviews and demonstrate our technical prowess.
β¨Tip Number 3
Practice makes perfect! Get ready for those interview questions by rehearsing answers related to machine learning projects and collaborative work. We want to show that weβre not just skilled, but also a great team player.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how we fit the role perfectly.
We think you need these skills to ace Data & Performance Analyst - Hybrid Dashboards & Insights in Swindon
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your relevant experience and skills that match the job description. We want to see how your background aligns with the role of a Data & Performance Analyst, so donβt hold back on showcasing your technical prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about data analysis and how you can contribute to our Business Insight and Performance Team. Keep it engaging and personal β we love to see your personality come through!
Showcase Your Projects: If you've worked on any relevant projects, whether in your studies or previous jobs, make sure to mention them. Weβre interested in your experience with data visualizations and reporting processes, so give us the juicy details!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates from us!
How to prepare for a job interview at UK Shared Business Services Ltd
β¨Know Your Data Visualisation Tools
Make sure youβre familiar with the data visualisation tools mentioned in the job description. Brush up on your skills with software like Tableau or Power BI, and be ready to discuss how you've used these tools in past projects.
β¨Showcase Your Reporting Process Experience
Prepare to talk about your experience managing reporting processes. Think of specific examples where you streamlined reporting or improved data accuracy. This will show that you understand the importance of clear and effective reporting.
β¨Collaborative Spirit is Key
Since the role requires working collaboratively, think of instances where youβve successfully worked in a team. Be ready to share how you contributed to group projects and how you handle differing opinions or challenges within a team.
β¨Prepare for Machine Learning Discussions
Even if machine learning isnβt your primary focus, itβs good to have a basic understanding. Brush up on key concepts and be prepared to discuss any relevant experience you have, as this could set you apart from other candidates.