At a Glance
- Tasks: Lead mobile app analytics to drive growth and optimise user engagement.
- Company: Join a dynamic team at a leading UK retailer.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and results.
- Why this job: Make a real impact on app performance and user experience.
- Qualifications: Experience in digital analytics, SQL, and A/B testing required.
The predicted salary is between 56250 - 68750 £ per year.
Pulse Group partners with a leading UK retailer to hire an experienced Digital Analyst to optimise its mobile app.
You will work with Product, Engineering, UX and CRM to drive growth, improve engagement, conversion and retention.
You will own analytics across mobile squads, define KPIs, implement GA4 and Firebase tracking, use SQL, run A/B tests, build dashboards and translate findings into commercial recommendations.
Mobile App Analytics Lead – Growth & Optimization in London employer: Pulse Group
Pulse Group is an exceptional employer located in the vibrant Greater London area, offering a collaborative work culture that fosters creativity and innovation. With a focus on employee growth, you will have the opportunity to take ownership of your projects while benefiting from competitive salaries and comprehensive benefits. Join us to shape user experiences for millions and advance your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Mobile App Analytics Lead – Growth & Optimization in London
✨Get Involved in Data Science Meetups
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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 Pulse Group.
✨Apply Directly through Our Website
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We think you need these skills to ace Mobile App Analytics Lead – Growth & Optimization 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 Pulse Group, 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 Pulse Group. 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 Pulse Group
✨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 Pulse Group!
✨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.
