At a Glance
- Tasks: Analyse mobile marketing performance and optimise campaigns with data-driven insights.
- Company: Join a leading iGaming brand with a vibrant culture in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with global teams and stay ahead in marketing analytics trends.
- Why this job: Make an impact in the fast-paced world of mobile marketing analytics.
- Qualifications: 4+ years in mobile marketing analytics and strong analytical skills required.
The predicted salary is between 36000 - 60000 £ per year.
BettingJobs is working with a well-established iGaming brand focused on the UK, Canadian and Swedish markets with offices in London and Cyprus. They are looking for a Marketing Data Analyst (Mobile) to join their team based in London.
Responsibilities:
- Analyse mobile and in-app marketing performance across digital channels and GEOs to identify trends, insights, and optimisation opportunities.
- Support the Mobile Marketing team with data-driven campaign optimisation, targeting, budgeting, and forecasting.
- Build and maintain marketing performance dashboards (SQL + Tableau/Power BI/Looker) for BAU reporting and stakeholder access.
- Analyse digital, product, and offline campaign data; present clear, actionable insights and optimisation recommendations to stakeholders.
- Develop and refine marketing and business KPIs, metrics, and performance visualisations with senior stakeholders.
- Analyse customer journeys across acquisition and retention funnels using MMPs (e.g. Appsflyer), GA, and customer databases to improve segmentation, personalisation, and LTV.
- Clean, transform, and prepare complex datasets for analysis.
- Identify opportunities for automation, efficiency, and process improvement.
- Manage relationships with global internal stakeholders.
- Train and support analysts and country/channel managers on BI and marketing analytics tools.
- Stay up to date with BI/marketing analytics trends and technologies.
Requirements:
- 4+ years' experience in data-driven mobile/in-app marketing analytics within a digital marketing or e-commerce environment.
- Proven experience analysing complex datasets across multiple online and offline channels, with a strong focus on mobile/in-app marketing.
- Strong knowledge of digital marketing metrics, acquisition/retention, LTV, and attribution modelling.
- Hands-on experience building dashboards in Tableau, Power BI, Appsflyer, Google Data Studio, or similar tools.
- Strong analytical, statistical, and problem-solving skills with high attention to detail.
- Excellent communication skills, able to translate technical insights for non-technical stakeholders.
- Ability to work independently and collaboratively in fast-paced, multi-market global teams (Europe, NA, LATAM).
- iGaming experience is a plus; Python/R experience is beneficial.
Marketing Data Analyst (Mobile) employer: BettingJobs
As a Remote Email Marketing Manager with our client, you will be part of a dynamic UK-based affiliate business that values innovation and collaboration. The company fosters a supportive work culture that prioritises employee growth through continuous learning opportunities and encourages creativity in driving impactful marketing strategies. With the flexibility of remote work from the UK or the South of Spain, you can enjoy a balanced lifestyle while contributing to exciting projects in the iGaming sector.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Data Analyst (Mobile)
✨Tip Number 1
Network like a pro! Reach out to people in the iGaming industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to mobile marketing. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of tools like SQL, Tableau, and Appsflyer. Be ready to discuss how you've used these in past roles to drive results.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you, and applying directly can sometimes give you an edge.
We think you need these skills to ace Marketing Data Analyst (Mobile)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Marketing Data Analyst (Mobile). Highlight your experience with mobile marketing analytics and any relevant tools like SQL, Tableau, or Appsflyer. We want to see how your skills match what we're looking for!
Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've analysed complex datasets and provided actionable insights. This will help us understand your problem-solving approach.
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant to the role. We appreciate a well-structured application that gets straight to the point without fluff.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status. Plus, we love seeing applications come in directly from our site!
How to prepare for a job interview at BettingJobs
✨Know Your Data Tools
Make sure you’re familiar with the tools mentioned in the job description, like SQL, Tableau, and Power BI. Brush up on how to build dashboards and present data insights clearly, as this will likely come up during your interview.
✨Understand Mobile Marketing Metrics
Dive deep into mobile marketing metrics such as LTV, acquisition, and retention rates. Be prepared to discuss how you’ve used these metrics in past roles to drive campaign optimisation and decision-making.
✨Prepare for Scenario Questions
Expect scenario-based questions where you’ll need to demonstrate your analytical skills. Think of examples from your experience where you identified trends or made recommendations based on data analysis, and be ready to explain your thought process.
✨Communicate Clearly
Since you’ll be translating technical insights for non-technical stakeholders, practice explaining complex data concepts in simple terms. This will show your communication skills and ability to work collaboratively with diverse teams.
