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- Tasks: Lead data projects, analyse data, and drive data strategy in a dynamic FinTech environment.
- Company: A top FinTech platform in the UK with a focus on innovation.
- Benefits: Competitive salary, bonus scheme, and professional development opportunities.
- Why this job: Make an impact by answering commercial questions and supporting regulatory needs.
- Qualifications: Extensive experience in Tableau and SQL, plus a degree in a numerate field.
- Other info: Join a diverse team and thrive in a fast-paced industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading FinTech platform in the UK is seeking a BI Analyst to lead key projects and drive data strategy. Your role will involve extracting and analyzing data to answer commercial questions, satisfy regulatory needs, and support data warehousing efforts.
Candidates should have extensive experience in Tableau and SQL, a degree in a numerate field, and be adept at working with diverse teams.
This role offers competitive salary and benefits, including a bonus scheme and opportunities for professional development.
Data Analytics Lead: BI, SQL & Tableau in FinTech in Glasgow employer: LendInvest (LSE: LINV)
Contact Detail:
LendInvest (LSE: LINV) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Lead: BI, SQL & Tableau in FinTech in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those who work with data analytics. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Tableau dashboards and SQL queries. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common BI scenarios and case studies. We recommend practising how you'd approach real-world data problems, as this will demonstrate your analytical thinking.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analytics Lead: BI, SQL & Tableau in FinTech in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with BI, SQL, and Tableau. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics in FinTech and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Teamwork Skills: Since this role involves working with diverse teams, make sure to mention any collaborative projects you've been part of. We value teamwork, so let us know how you’ve successfully worked with others to achieve common goals.
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 LendInvest (LSE: LINV)
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in Tableau and SQL. Brush up on your skills by working on sample projects or datasets. Being able to demonstrate your proficiency with real examples during the interview will show that you’re not just familiar with the tools, but that you can use them effectively to drive data strategy.
✨Understand the FinTech Landscape
Familiarise yourself with the current trends and challenges in the FinTech sector. This knowledge will help you answer questions more thoughtfully and show that you’re genuinely interested in the industry. It’s also a great way to connect your skills to the specific needs of the company.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about past experiences where you’ve successfully extracted and analysed data to solve commercial problems. Be ready to explain your thought process and the impact of your work on the business.
✨Showcase Your Teamwork Skills
Since the role involves working with diverse teams, be prepared to discuss how you’ve collaborated with others in previous roles. Highlight any cross-functional projects you’ve been part of and how you contributed to achieving common goals. This will demonstrate your ability to work well in a team environment.