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- Tasks: Analyse large datasets and ensure data quality using R and Python.
- Company: Prominent UK brand with a focus on innovation and data-driven decisions.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact through data analysis.
- Qualifications: Strong coding skills in R and Python, plus experience with statistical software.
- Other info: Work in a vibrant London office twice a month with excellent career prospects.
The predicted salary is between 28800 - 48000 £ per year.
A prominent UK brand is seeking a self-motivated Technical Data Analyst to conduct detailed analyses of large datasets. This hybrid role requires you to be in the London office twice a month.
Candidates should have strong coding abilities in R and Python, along with experience in statistical software like SPSS. If you possess a knack for statistical analysis and data cleansing, apply now for more details.
Hybrid Data Analyst - R/Python | Stats & Data Quality in City of London employer: LinuxRecruit
Contact Detail:
LinuxRecruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Analyst - R/Python | Stats & Data Quality in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your R and Python projects. This will give potential employers a taste of what you can do with data analysis and make you stand out.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical knowledge and coding skills. Practice common data analysis questions and be ready to discuss your experience with data cleansing.
✨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 Hybrid Data Analyst - R/Python | Stats & Data Quality in City of London
Some tips for your application 🫡
Show Off Your Coding Skills: Make sure to highlight your experience with R and Python in your application. We want to see how you've used these languages in past projects, so don’t hold back on the details!
Demonstrate Your Analytical Mindset: When writing your application, share examples of how you've tackled complex datasets. We love seeing your thought process and how you approach statistical analysis and data cleansing.
Tailor Your Application: Don’t just send a generic application! Make it specific to this role by mentioning your familiarity with statistical software like SPSS. We appreciate candidates who take the time to connect their skills to our needs.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at LinuxRecruit
✨Brush Up on Your Coding Skills
Make sure you're comfortable with R and Python before the interview. Practise coding challenges or work on small projects to showcase your skills. Being able to demonstrate your coding abilities will give you a leg up.
✨Know Your Stats Inside Out
Since this role involves statistical analysis, review key concepts and techniques. Be prepared to discuss how you've applied statistical methods in past projects, especially using software like SPSS. This will show your depth of knowledge.
✨Prepare for Data Quality Questions
Expect questions about data cleansing and quality assurance. Think of examples from your experience where you identified and resolved data issues. This will highlight your attention to detail and problem-solving skills.
✨Familiarise Yourself with the Company
Research the brand and its values. Understanding their mission and how they use data can help you tailor your answers and show that you're genuinely interested in the role. Plus, it’ll give you a chance to ask insightful questions!
