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- Tasks: Lead complex analytics projects and develop insights to support data-driven decisions.
- Company: A leading analytics firm in Greater London with a focus on innovation.
- Benefits: Flexible hours, generous holiday allowance, and health screening.
- Why this job: Make an impact by mentoring junior analysts and driving data insights.
- Qualifications: Relevant degree and extensive experience with SQL and Python.
- Other info: Join a dynamic team and enjoy a supportive work environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading analytics firm in Greater London is seeking a Senior Data Analyst to support data-driven decisions. The role involves consulting with stakeholders, developing insights, and leading complex analytics projects while mentoring junior analysts.
The ideal candidate has a relevant degree and extensive experience with SQL and Python for data analysis.
This position offers flexible hours and a comprehensive benefits package including generous holiday allowance and health screening.
Senior Data Analyst - Insight Leader (SQL/Python) employer: LexisNexis
Contact Detail:
LexisNexis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Insight Leader (SQL/Python)
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your SQL and Python projects. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions for Senior Data Analyst roles and practice your responses. Be ready to discuss how you've led analytics projects and mentored others, as this is key for the role.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for the right positions. Plus, it shows your genuine interest in joining our team at StudySmarter.
We think you need these skills to ace Senior Data Analyst - Insight Leader (SQL/Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant projects you've led. We want to see how your skills align with the role of a Senior Data Analyst.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analysis and how you can contribute to our team. Share specific examples of how you've supported data-driven decisions in the past.
Showcase Your Mentoring Skills: Since this role involves mentoring junior analysts, be sure to mention any experience you have in guiding others. We love seeing candidates who can lead and inspire their teammates!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This helps us keep track of your application and ensures it gets the attention it deserves!
How to prepare for a job interview at LexisNexis
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these tools to derive insights or solve complex problems. Practising coding challenges can also help you feel more confident.
✨Understand the Business Context
Research the analytics firm and its industry. Understand their key stakeholders and the types of data-driven decisions they make. This will allow you to tailor your answers and demonstrate how your experience aligns with their needs.
✨Showcase Your Mentoring Skills
Since this role involves mentoring junior analysts, be ready to share examples of how you've supported others in their development. Discuss any training sessions you've led or how you've helped colleagues overcome challenges in their work.
✨Prepare Insightful Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful queries about the company's analytics projects, team dynamics, or future goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
