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For Companies At a Glance
- Tasks: Enhance revenue metrics through data insights and design core datasets.
- Company: Dynamic financial analytics company based in London.
- Benefits: Competitive salary, equity options, and hybrid work environment.
- Why this job: Join a team that drives growth and makes a real impact on business success.
- Qualifications: Strong SQL and data warehousing experience, especially in B2B SaaS.
- Other info: Foster autonomy and growth in a collaborative setting.
The predicted salary is between 43200 - 72000 £ per year.
A financial analytics company in London seeks a Senior Data Analyst (Growth) to enhance revenue metrics through data insights. Collaborating with cross-functional teams, you will design core datasets and execute commercial reports.
The ideal candidate has strong SQL and data warehousing experience, particularly in a B2B SaaS setting. This role offers a competitive salary, equity options, and a hybrid work environment, fostering autonomy and growth.
Senior Growth Data Analyst - Revenue & KPI Insights in London employer: 9fin
Contact Detail:
9fin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Growth Data Analyst - Revenue & KPI Insights in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in financial analytics or B2B SaaS. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL projects and data insights. When you get that interview, having tangible examples will set you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data analysts. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Growth Data Analyst - Revenue & KPI Insights in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and data warehousing experience, especially in a B2B SaaS context. We want to see how your skills align 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 excited about the Senior Growth Data Analyst position and how you can contribute to enhancing revenue metrics. Let us know what makes you tick!
Showcase Your Analytical Skills: In your application, include examples of how you've used data insights to drive growth or improve KPIs in previous roles. We love seeing real-world applications of your analytical prowess!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at 9fin
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL queries and how you've used them to derive insights in previous roles, especially in a B2B SaaS context.
✨Showcase Your Data Storytelling Skills
Prepare to explain how you've transformed complex data into actionable insights. Think of specific examples where your analysis led to significant revenue growth or improved KPIs, and be ready to share these stories during the interview.
✨Familiarise Yourself with Their Business Model
Research the company’s financial analytics services and understand their target market. This will help you tailor your responses and demonstrate how your skills can directly contribute to enhancing their revenue metrics.
✨Prepare for Cross-Functional Collaboration Questions
Since this role involves working with various teams, think about past experiences where you collaborated with different departments. Be ready to discuss how you communicated data insights effectively and contributed to team goals.
