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- Tasks: Analyse data, design dashboards, and ensure data integrity in a collaborative team.
- Company: Major financial services company with a welcoming and flexible work culture.
- Benefits: Enjoy a range of benefits in a supportive environment that values your growth.
- Why this job: Join a dynamic team and make an impact through data-driven insights.
- Qualifications: Degree or experience in data analysis; proficiency in SQL and visualisation tools required.
- Other info: Exciting opportunity for career development in a newly created role.
The predicted salary is between 30000 - 42000 £ per year.
A major financial services company in Hove is looking for a Data Analyst to join their Data Analytics and Reporting team. In this newly created role, you will work collaboratively to analyze data, design dashboards, and maintain data integrity.
Candidates should have a degree or practical experience in data analysis, with proficiency in SQL and data visualization tools like Power BI or Tableau.
The role includes several benefits, fostering a welcoming and flexible work environment.
Data Analyst: Analytics & Dashboards in Hove employer: Legal & General
Contact Detail:
Legal & General Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Analytics & Dashboards in Hove
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those involving SQL and visualisation tools like Power BI or Tableau. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common data analysis interview questions and scenarios. We can even do mock interviews with friends to build confidence and refine our answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Analyst: Analytics & Dashboards in Hove
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and tools like SQL, Power BI, or Tableau. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this Data Analyst position and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Analytical Skills: In your application, include examples of how you've used data to drive decisions or create dashboards. We’re looking for candidates who can demonstrate their analytical prowess, so let us see what you’ve got!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Legal & General
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with data visualisation tools like Power BI or Tableau. Be ready to discuss specific projects where you've used these tools, as it shows your practical experience and understanding of data analysis.
✨Showcase Your Analytical Mindset
Prepare to talk about how you approach data analysis. Think of examples where you've identified trends or insights from data. This will demonstrate your ability to think critically and solve problems, which is key for a Data Analyst role.
✨Collaborative Spirit
Since this role involves working collaboratively, be ready to share experiences where you've worked in a team. Highlight how you contributed to group projects and how you handle feedback, as teamwork is essential in the Data Analytics and Reporting team.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy or the specific challenges the team faces. This not only shows your interest in the role but also your proactive approach to understanding how you can contribute effectively.
