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- Tasks: Collect and interpret data to drive performance and enhance data culture.
- Company: Leading health charity in Greater London with a mission-driven focus.
- Benefits: Competitive salary, 30 days annual leave, and health plans.
- Why this job: Make a real impact by driving data strategy in a meaningful organisation.
- Qualifications: Strong analytical skills and proficiency in Python, R, SQL, and data visualisation.
- Other info: Hybrid role offering a dynamic work environment and growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading health charity in Greater London is looking for a Data Analyst to enhance their data culture and drive performance. This hybrid role involves collecting and interpreting data, contributing to the data strategy, and making data-driven recommendations.
Successful candidates will possess strong analytical skills and proficiency in data analysis tools such as Python, R, and SQL, alongside solid data visualisation abilities.
The charity offers competitive salary and attractive benefits including 30 days annual leave and health plans.
Data Insights Analyst | Hybrid (London) Impact employer: Asthma + Lung UK
Contact Detail:
Asthma + Lung UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insights Analyst | Hybrid (London) Impact
✨Tip Number 1
Network like a pro! Reach out to people in the health charity sector or data analysis field. Use LinkedIn to connect and engage with professionals; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python, R, or SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when interpreting data and making recommendations; clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Data Insights Analyst role. Plus, it’s a great way to stay updated on new opportunities tailored just for you.
We think you need these skills to ace Data Insights Analyst | Hybrid (London) Impact
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Insights Analyst role. Highlight your analytical skills and any experience with Python, R, or SQL to show us you’re the right fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our mission at the charity. Be specific about your past experiences and how they relate to the job.
Showcase Your Data Visualisation Skills: Since this role involves data visualisation, include examples of your work in your application. Whether it's through a portfolio or links to projects, we want to see how you can turn data into insights!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Asthma + Lung UK
✨Know Your Data Tools
Make sure you brush up on your skills with Python, R, and SQL before the interview. Be ready to discuss how you've used these tools in past projects, as well as any specific data analysis techniques you've employed.
✨Showcase Your Analytical Mindset
Prepare to demonstrate your analytical skills by discussing real-world examples where your insights led to impactful decisions. Think about how you can articulate your thought process when interpreting data and making recommendations.
✨Understand the Charity's Mission
Research the charity’s goals and values. Being able to connect your data insights to their mission will show that you're not just a numbers person, but someone who genuinely cares about making a difference.
✨Prepare for Data Visualisation Questions
Since data visualisation is key for this role, be ready to talk about your experience creating visual representations of data. Bring examples of your work if possible, and explain how your visuals helped convey complex information clearly.
