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- Tasks: Analyse data to optimise mobile dating apps and drive business growth.
- Company: Join Rakuten Viber, a leading global communication platform connecting millions.
- Benefits: Enjoy hybrid work options and be part of a dynamic team.
- Why this job: Make a real impact on user experiences and collaborate with diverse teams.
- Qualifications: 8+ years in data analysis, strong SQL and Python skills required.
- Other info: Be part of a super-app journey with a focus on meaningful connections.
The predicted salary is between 43200 - 72000 £ per year.
Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
We are seeking a highly skilled Senior Data Analyst with strong technical expertise and a passion for analysing and optimising the performance of mobile dating applications. The ideal candidate will bring a data-driven mindset and experience working in fast-paced digital environments. If you’re passionate about data analysis and driving business growth through insights, we’d love to hear from you!
Responsibilities:- Identify improvement areas through data analysis, aligned with the company’s strategic vision and goals.
- Collaborate with cross-functional teams to translate data findings into business strategies.
- Define, conduct and analyze A/B tests to evaluate the effectiveness of different product initiatives.
- Develop and monitor dashboards and reports that provide visibility into platform health, user behavior, and key usage trends for stakeholders.
- 8+ years of experience in data analysis with proven business impact – preferably in the Dating mobile apps market.
- Strong expertise in SQL, Python, and data visualization tools (Tableau, Looker, Matplotlib).
- Experience designing and analyzing A/B tests.
- Familiarity with causality models for identifying relationships in data.
- Strong statistical background.
- Strong story-telling and presentation skills.
At Rakuten Viber, we connect people–no matter who they are, or where they are from. As a communication platform that connects hundreds of millions of people around the world, we know that the way people communicate changes on an almost daily basis. That’s why we dedicate ourselves to providing added value to communication — from private and group chats to audio and video calls to the ability to follow and contact brands, businesses and celebrities. Viber is an all-in-one platform for everything communications-based, and all Viber communications are protected by end-to-end encryption. Viber is part of the Rakuten Group, a world leader in e-commerce and financial services.
Senior Data Analyst, UK London, UK (hybrid) employer: Rakuten Viber
Contact Detail:
Rakuten Viber Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst, UK London, UK (hybrid)
✨Tip Number 1
Familiarise yourself with the latest trends in mobile dating applications. Understanding the competitive landscape and user preferences can help you demonstrate your industry knowledge during discussions.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your technical expertise.
✨Tip Number 3
Prepare to discuss your experience with A/B testing in detail. Be ready to share specific examples of tests you've conducted, the insights gained, and how those insights influenced business decisions.
✨Tip Number 4
Network with professionals in the data analysis and mobile app sectors. Attend relevant meetups or webinars to connect with others in the field, which could lead to valuable referrals or insights about the company culture at Rakuten Viber.
We think you need these skills to ace Senior Data Analyst, UK London, UK (hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in mobile applications. Emphasise your expertise in SQL, Python, and any data visualisation tools you've used, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it can drive business growth. Mention specific examples of how you've used data to influence decisions in previous roles, especially in fast-paced environments.
Showcase A/B Testing Experience: Since the role involves defining and analysing A/B tests, include detailed examples of tests you've conducted. Explain the objectives, methodologies, and outcomes to demonstrate your analytical skills and impact on product initiatives.
Highlight Collaboration Skills: The job requires collaboration with cross-functional teams. Share experiences where you've worked with different departments to translate data findings into actionable strategies, showcasing your ability to communicate effectively.
How to prepare for a job interview at Rakuten Viber
✨Showcase Your Data Expertise
Make sure to highlight your experience with SQL, Python, and data visualisation tools like Tableau or Looker. Be prepared to discuss specific projects where you used these skills to drive business impact, especially in the mobile dating apps market.
✨Prepare for A/B Testing Questions
Since the role involves designing and analysing A/B tests, brush up on your knowledge of testing methodologies. Be ready to explain how you've implemented A/B tests in the past and what insights you derived from them.
✨Demonstrate Your Analytical Mindset
The company is looking for a data-driven mindset, so come prepared with examples of how you've identified improvement areas through data analysis. Discuss how your findings have aligned with strategic goals and led to actionable business strategies.
✨Communicate Effectively
Strong story-telling and presentation skills are advantageous for this role. Practice explaining complex data insights in a clear and engaging manner, as you'll need to collaborate with cross-functional teams and present your findings to stakeholders.
