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- Tasks: Analyse customer data to boost engagement and retention in a dynamic FinTech environment.
- Company: Leading FinTech company based in London, focused on innovation.
- Benefits: Competitive day rate of £400-£500 for a 3-month contract.
- Why this job: Make a real impact by driving customer insights and trends.
- Qualifications: Strong SQL skills and experience with BI tools required.
- Other info: Remote work opportunity with a focus on professional growth.
A leading FinTech company in London is looking for a Senior Data Analyst to drive customer engagement and retention through data analysis. You will analyze customer usage data to identify trends and ensure reporting integrity.
The ideal candidate will have:
- Strong SQL skills
- Experience with BI tools
- Knowledge of DBT and BigQuery
This position offers a contract length of 3 months with a day rate between £400 and £500.
Senior Data Analyst - Remote (3-month Contract) - FinTech employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Remote (3-month Contract) - FinTech
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space and let them know you're on the lookout for opportunities. Sometimes, a friendly nudge can lead to a referral that gets you in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data analysis projects. Highlight your SQL prowess and any experience with BI tools, DBT, and BigQuery. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for data analysts and practice your responses. Be ready to discuss how you've used data to drive customer engagement and retention in past roles. Confidence is key!
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for jobs like this Senior Data Analyst position. Don’t miss out on the chance to land that contract – get your application in today!
We think you need these skills to ace Senior Data Analyst - Remote (3-month Contract) - FinTech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and experience with BI tools. We want to see how your background aligns 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 the perfect fit for this Senior Data Analyst position. Share specific examples of how you've driven customer engagement through data analysis.
Showcase Your Technical Skills: Since this role requires knowledge of DBT and BigQuery, make sure to mention any relevant experience you have with these tools. We love seeing candidates who can hit the ground running!
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 from our team!
How to prepare for a job interview at Data Science Festival
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with complex queries and how you've used SQL to drive insights in previous roles. Practising some common SQL problems can really help you stand out.
✨Familiarise Yourself with BI Tools
Since the role requires experience with BI tools, take some time to review the specific tools mentioned in the job description. If you’ve worked with Tableau, Power BI, or similar platforms, be ready to share examples of how you’ve used them to enhance data visualisation and reporting.
✨Understand DBT and BigQuery
If you have experience with DBT and BigQuery, make sure you can articulate how you've used these tools in your past projects. If you're not as familiar, do a bit of research to understand their functionalities and how they can be applied in data analysis.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your analytical thinking and problem-solving skills. Think of specific examples from your past work where you identified trends or improved customer engagement through data analysis. This will show your potential employer that you can apply your skills effectively.
