****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