At a Glance
- Tasks: Uncover insights and drive decisions using data analysis in social mobile apps.
- Company: Join a mission-driven company focused on meaningful connections.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor and lead projects.
- Why this job: Make a real impact by leveraging data and AI to enhance user experiences.
- Qualifications: 6+ years in analytics with strong SQL, Python, and data visualisation skills.
The predicted salary is between 45000 - 55000 £ per year.
Our mission is to make people’s lives easier by enabling meaningful connections — from special moments with friends and family, to building businesses and pursuing passions.
We’re looking for a Senior Product Analyst who combines strong technical skills with a strategic mindset and curiosity for how data drives user experience and growth in social mobile apps.
You’ll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact.
If you’re passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; Responsibilities Identify opportunities for improvement through data analysis aligned with company strategy.
Partner cross-functionally to translate data findings into actionable product and business decisions.
Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations.
Requirements6+ years of experience in analytics, preferably in consumer-facing digital products.
Strong command of SQL, Python, and data visualization tools (e. g., Tableau, Looker, Matplotlib).
Strong understanding of how to leverage AI to improve analysis speed, accuracy, and impact. ability to craft a clear narrative from complex data.
Availability to work in a hybrid model - at least 3 days a week from the office.
Experience mentoring analysts or leading analytical projects.
Hybrid
Product Analyst Senior in London employer: Viber
As a Senior Data Analyst at our company, you'll be part of a dynamic team dedicated to making meaningful connections through data-driven insights. We foster a collaborative work culture that values innovation and personal growth, offering opportunities for mentorship and professional development. Located in a vibrant area, our hybrid work model allows for flexibility while ensuring you can engage with colleagues and contribute to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Product Analyst Senior in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Viber!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Product Analyst Senior at Viber.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Viber.
✨Apply Directly through Our Website
When you find a suitable opening like Product Analyst Senior at Viber, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Product Analyst Senior in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Viber, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Viber. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Viber
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Viber!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
