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- Tasks: Create and maintain self-serve analytics tools and dashboards using Python and SQL.
- Company: Leading analytics and market research firm in London with a tech-driven approach.
- Benefits: Competitive salary, hybrid work options, and opportunities for professional growth.
- Why this job: Join a collaborative team and turn complex data into impactful insights.
- Qualifications: Strong skills in Python, SQL, and data visualisation; problem-solving experience required.
- Other info: Dynamic environment with plenty of room for career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A leading analytics and market research firm in London seeks a Senior Data Analyst to develop and maintain self-serve analytics tools and dashboards. The role requires strong skills in Python and SQL, along with proficiency in data visualization. Ideal candidates will have experience translating complex data into insights and possess excellent problem-solving abilities.
This position includes ample room for professional development in a collaborative team environment, offering a competitive salary and hybrid working arrangements.
Senior Data Analyst - Hybrid, Tech-Driven Analytics employer: Savanta
Contact Detail:
Savanta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Hybrid, Tech-Driven Analytics
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the analytics field on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects. This is a great way to demonstrate your ability to turn complex data into insights, which is key for the Senior Data Analyst role.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and SQL skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable discussing your technical expertise.
✨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 Senior Data Analyst - Hybrid, Tech-Driven Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in past projects, so don’t hold back on the details!
Visualisation is Key: Since data visualisation is a big part of this role, include examples of dashboards or visual tools you've created. We love seeing how you can turn complex data into clear insights!
Problem-Solving Stories: Share specific examples of how you've tackled tough data challenges. We’re all about problem-solving here at StudySmarter, so let us know how you’ve made an impact in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to get your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Savanta
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools to create analytics dashboards or self-serve tools. This will show that you not only know the theory but can apply it in real-world scenarios.
✨Visualisation is Key
Since the role requires proficiency in data visualisation, prepare to showcase your experience with different visualisation tools. Bring examples of dashboards you've created and be ready to explain how they helped translate complex data into actionable insights.
✨Problem-Solving Scenarios
Expect to face some problem-solving questions during the interview. Think of a few challenging situations you've encountered in your previous roles and how you tackled them. This will demonstrate your analytical thinking and ability to overcome obstacles.
✨Collaborative Mindset
This position thrives in a collaborative environment, so be prepared to discuss how you've worked effectively within teams. Share examples of how you’ve contributed to team projects and how you value input from others to enhance your work.
