National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Mobile Analyst (UK, IE, GER, POR)

Prosperity
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Data Science Director, London

Data Analyst

Senior Data Scientist

Senior Machine Learning Engineer

User Experience Researcher

****Please note that this role is available in various countries including the UK, Ireland, Germany, and Portugal. Applicants should specify their preferred location(s) when applying.****

We are looking for aSeniorMobile Analystfor one of the biggest hospitality brands worldwide. This is an exciting opportunity within the vibrant travel industry, where our client is revolutionising the industry.

Joining a collaborative team across technology, product, marketing, and analytics, across teams they work together towards a common goal. As a Mobile Analyst, you'll be a key player in the Mobile Growth unit, leveraging analytics to make informed decisions and shape the future of travel experiences for adventurers worldwide.

What’s in it for you?

Excellent salary | Established brand | great career opportunities | hybrid work | possibility to work in the UK, Ireland, Germany or Portugal

Responsibilities: 

Closely collaborating with the Mobile Growth Team to uncover growth opportunities within our mobile native apps. Directly report to the Head of Growth Analytics. Utilize data from Branch, Google Analytics, Firebase, Segment, etc., to implement tracking mechanisms and construct comprehensive user journey datasets. Generate actionable insights and reports on user behaviors, journey patterns, and product adoption trends to pinpoint avenues for growth. Evaluate experiment results to inform decision-making on feature launches, continuously learning and iterating to drive sustained growth. Maintain company-wide awareness of key user analytics metrics through regular dashboard updates and team communications. Engage with stakeholders across departments to prioritize business objectives and quantify potential impact. Foster collaboration and knowledge-sharing within the analytics team to ensure consistent standards and rigor across all analytical endeavors.

Requirements:

Demonstrate at least 3 years of collaborative work with various product team members, including product management, engineering, design, data science, and data engineering. At least 3 years using web analytics tools such as Google Analytics, Firebase, Branch, Adobe Analytics, Tableau, and Segment for data extraction, analysis, and visualization. Showcase a track record of making data-driven decisions and effectively communicating analysis results. Possess advanced SQL skills, adept at querying both structured and unstructured data types. Demonstrate experience in statistics, including hypothesis testing, product experimentation, regressions, and managing experimentation logic and biases. Exhibit a highly analytical mindset, with a proven ability to tackle complex, ambiguous problems using data-driven approaches.

Benefits:

Competitive salary & benefits Enhanced annual leave plus 3 extra days per year Paid family leave Growth & Development support  Volunteering days available

If you want to join one of the most prestigious brands out there and take the next step in your career, please don’t hesitate to apply to Prosperity now, we’d like to meet you!

Apply Now

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.