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- Tasks: Analyse data to optimise dating app performance and influence growth strategies.
- Company: Leading mobile app company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on the dating experience of millions of users.
- Qualifications: 6+ years of data analysis experience, including 2 years in mobile dating apps.
- Other info: Join a dynamic team and help shape the future of dating technology.
The predicted salary is between 43200 - 72000 £ per year.
A leading mobile application company in the United Kingdom seeks a Senior Data Analyst to optimize performance and influence strategies for mobile dating applications. The ideal candidate will have over 6 years of data analysis experience, including 2 years in mobile dating apps, and proficiency in SQL and Python.
Responsibilities include:
- Data-driven insights
- A/B testing
- Developing dashboards
Strong storytelling skills are advantageous. Join us to make an impact across hundreds of millions of users.
Senior Data Analyst: Dating Apps Growth & Insights employer: Rakuten Viber
Contact Detail:
Rakuten Viber Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst: Dating Apps Growth & Insights
✨Tip Number 1
Network like a pro! Reach out to people in the mobile dating app industry on LinkedIn. A friendly message can go a long way, and who knows, they might just refer you to the right opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to mobile apps. This will help us see your expertise in action and how you can contribute to our growth.
✨Tip Number 3
Prepare for the interview by brushing up on A/B testing and storytelling techniques. We love candidates who can not only crunch numbers but also tell a compelling story with their insights.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals ready to make an impact in the mobile dating space.
We think you need these skills to ace Senior Data Analyst: Dating Apps Growth & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, especially in mobile dating apps. We want to see how your skills in SQL and Python can shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us your story. Share your passion for data and how you’ve used insights to drive growth in previous roles. Let your personality come through!
Showcase Your A/B Testing Experience: Since A/B testing is key for this role, be sure to include specific examples of tests you've conducted and the impact they had. We love seeing real results that demonstrate your analytical prowess.
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’re considered for this exciting opportunity to make an impact!
How to prepare for a job interview at Rakuten Viber
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analysis techniques relevant to mobile dating apps. Brush up on your SQL and Python skills, and be ready to discuss specific projects where you've used these tools to drive insights or optimise performance.
✨Showcase Your Storytelling Skills
Prepare to explain how your data-driven insights have influenced strategies in previous roles. Use clear examples that demonstrate your ability to turn complex data into compelling narratives that resonate with stakeholders.
✨A/B Testing Mastery
Be ready to discuss your experience with A/B testing. Think of specific instances where your testing led to significant improvements. Highlight your approach to designing tests and interpreting results, as this is crucial for optimising app performance.
✨Dashboards That Dazzle
If you’ve developed dashboards before, bring examples to the interview. Talk about the tools you used and how you tailored the dashboards to meet user needs. This will show your practical experience and understanding of visualising data effectively.
