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- Tasks: Analyse complex financial data and ensure data integrity in a hybrid environment.
- Company: Global consulting firm with a focus on collaboration and innovation.
- Benefits: Competitive salary package and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the financial sector.
- Qualifications: Over 5 years of data analysis experience and strong SQL skills.
- Other info: Ideal for those seeking to advance their career in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A global consulting firm is looking for a Data Analyst specialized in Validation, Reconciliation & Analytics to work in a hybrid environment. You will analyze complex financial data, collaborate with various teams, and ensure data integrity.
Candidates must have over 5 years in data analysis, strong SQL skills, and experience with financial data. This role offers a competitive salary package and opportunities for professional growth.
Data Analyst: Snowflake & SQL for Financial Data (Hybrid) in London employer: The Keyrus Group
Contact Detail:
The Keyrus Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Snowflake & SQL for Financial Data (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data analysis 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 SQL projects and financial data analyses. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Think about how you would handle validation and reconciliation challenges, and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data analysts like you. Plus, it’s the best way to ensure your application gets noticed!
We think you need these skills to ace Data Analyst: Snowflake & SQL for Financial Data (Hybrid) in London
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your strong SQL skills in your application. We want to see how you've used SQL to tackle complex data challenges, especially in financial contexts. Don't hold back on sharing specific examples!
Demonstrate Your Financial Data Experience: Since this role focuses on financial data, it's crucial to showcase your experience in this area. We’re looking for candidates who can validate and reconcile data effectively, so include any relevant projects or roles that demonstrate your expertise.
Collaborate Like a Pro: Collaboration is key in our hybrid environment. In your application, mention any experiences where you worked with different teams to achieve a common goal. We love seeing how you can bring people together to ensure data integrity!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at The Keyrus Group
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and how you've used SQL to solve real-world problems, especially in financial contexts. Practising with sample datasets can help you articulate your thought process during the interview.
✨Understand Financial Data Nuances
Since this role focuses on financial data, it’s crucial to understand the specific challenges and nuances involved. Familiarise yourself with common financial metrics and reporting standards. Being able to discuss how you've handled validation and reconciliation in past roles will set you apart.
✨Showcase Your Analytical Skills
Prepare to share examples of how you've analysed complex data sets in previous positions. Use the STAR method (Situation, Task, Action, Result) to structure your responses. This will help demonstrate your analytical thinking and problem-solving abilities effectively.
✨Collaborate and Communicate
This role involves working with various teams, so be ready to discuss your experience in collaboration. Highlight instances where you’ve worked cross-functionally and how you ensured clear communication. This shows that you’re not just a data whiz but also a team player who values input from others.
