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- Tasks: Analyse data using SQL and BI tools to drive insights in healthcare.
- Company: Leading organisation in the healthcare sector with a focus on innovation.
- Benefits: Competitive salary, hybrid working, and opportunities for skill development.
- Why this job: Join a growing team and make a real impact in healthcare analytics.
- Qualifications: Experience with SQL, BI tools, and a passion for problem-solving.
- Other info: Perfect for self-starters looking to enhance their technical skills.
The predicted salary is between 24000 - 42000 £ per year.
Job Description
Junior Data Analyst – SQL/Python – Bristol – New Role (REF39)
£28k – £35k + Hybrid Working
A leading organisation within the healthcare sector requires a junior Data Analyst to join its growing team. Suitable candidates will have the following:
- Proven experience with SQL querying
- Experience with a BI dashboard tool (Tableau, Power BI, etc.)
- Exposure to a range of analytical techniques
- Strong data storytelling skills
- Keen interest to develop new technical skills
- Passion for problem-solving
- Comfortable working with messy data
Additionally, any exerience of the following would be highly advantageous:
- Python skills for data transformation & analysis
- Experience with MongoDB or non-relational databases
- Experience of cloud environments
This role will suit a confident self-starter who can work collaboratively within a team while developing their skillset.
Please send your CV for an informal chat and full job description. Excellent opportunity!
Junior Data Analyst - SQL/Python - New Role (REF39) employer: RedRock Resourcing
Contact Detail:
RedRock Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst - SQL/Python - New Role (REF39)
✨Tip Number 1
Network like a pro! Reach out to people in the healthcare sector or data analysis field on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, BI dashboards, or any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions. Practice explaining your thought process when tackling messy data or using Python for analysis. Confidence is key, so let your passion shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Junior Data Analyst - SQL/Python - New Role (REF39)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL querying experience and any BI dashboard tools you've used. We want to see how your skills match the role, so don’t be shy about showcasing your data storytelling abilities!
Show Your Passion: In your cover letter, let us know why you're excited about this Junior Data Analyst position. Share your keen interest in developing new technical skills and your passion for problem-solving – we love to see that enthusiasm!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and make sure your key skills stand out. Remember, less is often more!
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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at RedRock Resourcing
✨Know Your SQL Inside Out
Make sure you brush up on your SQL querying skills before the interview. Be prepared to discuss your experience with SQL and even tackle some practical questions or exercises. This will show that you’re not just familiar with it, but that you can actually use it effectively.
✨Show Off Your Data Storytelling Skills
Prepare to explain how you've used data to tell a story in your previous roles or projects. Think of specific examples where your analysis led to actionable insights. This will demonstrate your ability to communicate complex data in a way that's easy to understand.
✨Familiarise Yourself with BI Tools
If you have experience with Tableau or Power BI, be ready to discuss it! If not, take some time to explore these tools and understand their functionalities. Being able to talk about how you would use them in real-world scenarios can really set you apart.
✨Embrace the Messy Data Challenge
Since the role involves working with messy data, think of examples where you've tackled similar challenges. Discuss your problem-solving approach and any techniques you’ve used to clean and analyse data. This will highlight your resilience and adaptability in the face of data chaos.
