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- Tasks: Analyse data to provide insights that enhance performance in a leading healthcare charity.
- Company: Join a top UK healthcare charity dedicated to making a difference.
- Benefits: Enjoy a competitive salary and 30 days of annual leave.
- Why this job: Make a real impact by developing the organisation's data culture and capabilities.
- Qualifications: Strong analytical skills and proficiency in Python, R, SQL, and data visualisation tools.
- Other info: Hybrid working model with opportunities for personal and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading healthcare charity in the UK is seeking a Data Analyst to join their Data+Insight team. This role will focus on developing the organization's data culture and capabilities, providing reliable insights to enhance performance.
Key skills required include:
- Strong analytical abilities
- Proficiency in Python, R, and SQL
- Data visualization capabilities using tools like Power BI and Tableau
Benefits include a competitive salary and 30 days annual leave.
Data Analyst - Insight & Impact (Hybrid) in London employer: Asthma + Lung UK
Contact Detail:
Asthma + Lung UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Insight & Impact (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the charity on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data visualisation projects using Power BI or Tableau. This will help us demonstrate your analytical abilities and creativity during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your Python, R, and SQL skills with real-world datasets. We can even create mock scenarios to simulate the kind of problems you might face in the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Analyst - Insight & Impact (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your analytical abilities and any experience you have with Python, R, SQL, and data visualisation tools like Power BI and Tableau. We want to see how you can bring your skills to the table!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the key skills and responsibilities mentioned in the job description. It shows us you’re genuinely interested in the role.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences without wading through unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Asthma + Lung UK
✨Know Your Data Tools
Make sure you brush up on your skills in Python, R, SQL, and data visualisation tools like Power BI and Tableau. Be ready to discuss specific projects where you've used these tools to derive insights or solve problems.
✨Showcase Your Analytical Mindset
Prepare examples that highlight your analytical abilities. Think of situations where your insights led to improved performance or decision-making. This will demonstrate your value to the Data+Insight team.
✨Understand the Organisation's Mission
Research the healthcare charity's goals and how data plays a role in achieving them. Being able to articulate how your work as a Data Analyst can contribute to their mission will set you apart from other candidates.
✨Practice Data Storytelling
Be ready to explain complex data findings in a simple, engaging way. Practise telling a story with your data, as this is crucial for enhancing the organisation's data culture and making insights accessible to all stakeholders.
