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For Companies At a Glance
- Tasks: Analyse data and create stunning visualisations to drive business decisions.
- Company: Leading legal intelligence provider in the UK with a focus on innovation.
- Benefits: Flexible hours, health screening, and generous holiday allowance.
- Why this job: Join a dynamic team and leverage AI to make impactful insights.
- Qualifications: Experience in SQL and Python, plus a degree in a related field.
- Other info: Exciting opportunities for growth in a supportive environment.
The predicted salary is between 30000 - 50000 £ per year.
A leading provider of legal intelligence in the UK is seeking a Data Analyst to support data-driven business decisions.
Responsibilities include:
- Consulting with stakeholders
- Leading complex analytics projects
- Leveraging AI tools for data preparation and visualization
A Bachelor's or Master's in a related field and significant experience in SQL and Python are required.
The role offers flexible working hours and a range of employee benefits including health screening and generous holiday allowance.
AI-Driven Data Analyst: Insights & Visualization employer: LexisNexis Legal
Contact Detail:
LexisNexis Legal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Driven Data Analyst: Insights & Visualization
✨Tip Number 1
Network like a pro! Reach out to professionals in the legal intelligence field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects and analytics work. This is your chance to demonstrate your expertise in SQL and Python, so let’s make it shine!
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨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 AI-Driven Data Analyst: Insights & Visualization
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as these are key skills for the role. We want to see how your background aligns with the responsibilities of consulting with stakeholders and leading analytics projects.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analysis and how you can leverage AI tools for insights and visualisation. This is your chance to show off your personality and enthusiasm for the role!
Showcase Relevant Projects: If you've worked on any complex analytics projects or have examples of data visualisation, make sure to include them in your application. We love seeing real-world applications of your skills and how you've made an impact.
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 from us!
How to prepare for a job interview at LexisNexis Legal
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any AI technologies you've leveraged for data visualisation.
✨Understand the Business Context
Research the company’s role in the legal intelligence sector. Familiarise yourself with how data-driven decisions impact their business model. This will help you tailor your answers to show that you understand their needs.
✨Prepare for Stakeholder Scenarios
Think of examples where you've consulted with stakeholders in previous roles. Be prepared to discuss how you gathered requirements and communicated complex data insights in a way that was easy for them to understand.
✨Showcase Your Project Management Skills
Since the role involves leading complex analytics projects, be ready to talk about your experience managing such projects. Highlight your approach to problem-solving and how you ensure timely delivery while maintaining quality.
