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- Tasks: Conduct complex data analysis using Python and SQL to provide insights for financial services.
- Company: Leading technology consultancy in the UK with a focus on asset management.
- Benefits: Fully remote work, competitive day rate of £600-£650, and flexible working hours.
- Why this job: Join a dynamic team and make a significant impact in the financial sector.
- Qualifications: 10+ years in asset management, strong communication, and stakeholder engagement skills.
- Other info: Opportunity for long-term collaboration in a supportive and innovative environment.
The predicted salary is between 43200 - 46800 £ per year.
A technology consultancy in the UK is seeking an experienced data consultant with at least 10 years in asset management. The role involves complex data analysis, utilizing Python and SQL to deliver insights for financial services clients.
Candidates must have strong communication skills and be adept in stakeholder engagement.
This position offers a fully remote work environment with a competitive day rate of £600-£650 outside IR35.
Remote Senior Analytics Engineer (Python/SQL) - Long-Term employer: Toucanberry Tech
Contact Detail:
Toucanberry Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior Analytics Engineer (Python/SQL) - Long-Term
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Python and SQL projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your communication skills and be ready to discuss how you've engaged with stakeholders in the past. We want to see how you can translate complex data into actionable insights.
✨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 take that extra step!
We think you need these skills to ace Remote Senior Analytics Engineer (Python/SQL) - Long-Term
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in asset management and showcases your skills in Python and SQL. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this remote Senior Analytics Engineer role. Share specific examples of your work that demonstrate your analytical prowess and communication skills.
Showcase Your Stakeholder Engagement Skills: Since this role involves working closely with clients, make sure to highlight any experience you have in stakeholder engagement. We love to see how you’ve successfully communicated complex data insights to non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application 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 Toucanberry Tech
✨Know Your Tech Inside Out
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 technologies, especially in asset management. The more detailed examples you can provide, the better!
✨Showcase Your Communication Skills
Since strong communication is key for this role, practice explaining complex data concepts in simple terms. Think about how you would present your findings to a non-technical stakeholder. This will demonstrate your ability to engage effectively with clients.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific challenges in data analysis or stakeholder engagement. Prepare some scenarios from your past experience where you successfully navigated similar situations, highlighting your problem-solving skills.
✨Research the Company and Its Clients
Familiarise yourself with the consultancy's work and their financial services clients. Understanding their business model and challenges will help you tailor your answers and show that you're genuinely interested in contributing to their success.
