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- Tasks: Consult with stakeholders and develop data-driven insights using SQL and Python.
- Company: Leading data and analytics firm in the UK with a flexible working environment.
- Benefits: Generous holidays, wellness programs, and a supportive work culture.
- Why this job: Lead complex projects and mentor junior analysts while making impactful visualisations.
- Qualifications: Significant experience in analytics, data science, SQL, and Python.
The predicted salary is between 43200 - 72000 £ per year.
A leading data and analytics firm in the United Kingdom is seeking a Senior Data Analyst to consult with stakeholders and develop data-driven insights. The role requires significant experience in analytics and data science, along with expertise in SQL and Python.
The candidate will lead complex projects and mentor junior analysts while creating compelling visualizations. The company offers a flexible working environment and a range of employee benefits, including generous holidays and wellness programs.
Senior Data Analyst - Global Operations & Insights employer: LexisNexis Risk Solutions
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Global Operations & Insights
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work in data analytics. 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 best data visualisations and projects. This is your chance to demonstrate your expertise in SQL and Python, so make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis scenarios. Think about how you would approach complex projects and be ready to discuss your mentoring experiences with junior analysts.
✨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 - Global Operations & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics and data science, especially with SQL and Python. We want to see how your skills align with 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 passionate about data analysis and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Visualisation Skills: Since the role involves creating compelling visualisations, include examples of your work if possible. We appreciate candidates who can communicate insights effectively through visuals, so let your creativity flow!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at LexisNexis Risk Solutions
✨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 to derive insights or solve problems. This will show that you’re not just familiar with the tools, but that you can apply them effectively in real-world scenarios.
✨Showcase Your Analytical Mindset
Prepare to talk about how you approach complex data challenges. Think of examples where you’ve led projects or mentored others. Highlight your problem-solving process and how you translate data into actionable insights for stakeholders.
✨Visualisation is Key
Since creating compelling visualisations is part of the role, bring along examples of your work. Whether it’s dashboards or reports, be ready to explain your design choices and how they helped communicate your findings effectively.
✨Understand the Company Culture
Research the company’s values and their approach to analytics. Since they offer a flexible working environment, think about how you can contribute to that culture. Be prepared to discuss how you thrive in collaborative settings and support junior analysts in their growth.
