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- Tasks: Analyse learner data to identify trends and support curriculum teams.
- Company: A UK charitable organisation dedicated to making a difference.
- Benefits: Hybrid working model, pension, and generous holiday allowance.
- Why this job: Make an impact in education while enjoying a 4-day work week.
- Qualifications: Expertise in data visualisation, SQL, and PowerBI required.
- Other info: Join a supportive team and grow your career in a meaningful way.
The predicted salary is between 30000 - 42000 £ per year.
A UK charitable organisation is seeking a Data Analyst to manage and maintain reporting functions. The role includes analyzing learner data to identify trends and supporting curriculum teams.
Candidates should have expertise in data visualization, SQL, and PowerBI.
This position offers a hybrid working model, pension, and generous holiday allowance. The successful candidate will work Monday to Friday from 9am to 5pm.
Data Analyst - Learning & Training (Hybrid, 4-Day Week) employer: Personnel Selection
Contact Detail:
Personnel Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Learning & Training (Hybrid, 4-Day Week)
✨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.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data visualisation projects, especially using PowerBI. This will help us stand out during interviews and demonstrate our expertise.
✨Tip Number 3
Practice makes perfect! Get ready for those technical questions by brushing up on SQL queries and data analysis techniques. We want to be confident when discussing our skills in the interview.
✨Tip Number 4
Apply through our website! It’s 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 Analyst - Learning & Training (Hybrid, 4-Day Week)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data visualization, SQL, and PowerBI. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our mission. Keep it concise but engaging – we love a good story!
Showcase Your Analytical Skills: In your application, give examples of how you've used data to identify trends or solve problems in previous roles. We’re looking for candidates who can demonstrate their analytical prowess and how it can benefit our curriculum teams.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Personnel Selection
✨Know Your Data Tools
Make sure you brush up on your SQL and PowerBI skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse data and create visualisations. This will show that you not only understand the technical side but can also apply it effectively.
✨Understand the Organisation's Mission
Since this is a charitable organisation, take some time to research their mission and values. Be prepared to explain how your skills as a Data Analyst can help them achieve their goals. This shows that you're not just looking for any job, but that you're genuinely interested in contributing to their cause.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data trends. Practice articulating your thought process clearly and logically. This will demonstrate your analytical skills and how you approach problem-solving, which is crucial for the role.
✨Showcase Your Teamwork Skills
As you'll be supporting curriculum teams, it's important to highlight your experience working collaboratively. Think of examples where you've successfully communicated data insights to non-technical team members. This will illustrate your ability to bridge the gap between data analysis and practical application.
