Mobile App Marketing Data Analyst
GNB Partnership
- England, United Kingdom
- England, United Kingdom
À propos
both through the marketing acquisition and retention funnel allowing for better customer segmentation/personalisation, enhanced profitability and future targeting of lookalikes at scale ideally Managing relationships with multiple internal stakeholders based all over the world. Clean, transform, and prepare data for analysis to support the above Identify opportunities for process improvement or increased automation and efficiency through advanced technical solutions Provide training and support to the marketing analysts in the team and country and channel managers on BI/marketing analysis (MA) tools and reports. Stay updated with industry trends and advancements in BI/MA technologies and methodologies to continuously improve BI/MA processes. Key Skills and Qualifications of theMobile App Marketing Data Analyst 4+ years in a data driven mobile/in-app marketing role (e.g. marketing analyst/insight analyst/data analyst) within a digital marketing environment (i.e. working for a digital performance or full-service media agency) or client side ideally from an e-commerce, high volume digital/online first transactional business. A demonstrable track record of managing complex data sets across multiple online and offline marketing channels and proven experience of analysing and reporting results and insights on digital, specifically in Mobile/In App marketing, but ideally also on other common digital performance channels (i.e. Paid Search, paid social, programmatic, affiliates, CRM) Solid understanding of marketing analysis and reporting principles, especially digital marketing channels and metrics (acquisition and retention and LTV) Strong understanding of marketing principles/channels and KPIs - both offline and online, Understanding of digital attribution modelling. i.e. Developing/building and working with Multi Channel Digital Attribution Models. Hands-on experience creating dashboards using Tableau, Appsflyer, Power BI, Google Data Studio, or similar tools. Strong ability to interpret data, perform statistical analysis, and develop actionable insights. Attention to detail, critical thinking, and a proactive approach to identifying and solving data-related challenges. Excellent written and verbal communication skills, capable of explaining technical findings to non-technical stakeholders. Ability to work independently and collaboratively in a fast-paced environment and ideally in different markets in EUROPE/NA @ CAD and LATAM. You will need to build and manage relationships with members of teams globally Experience in the iGaming industry is beneficial but not mandatory Experience of Python, R or other programming languages for analysis is useful. Benefits 24 days of annual leave, with additional days awarded after 3 years of service. Hybrid work model
3 days in the office, 2 days working from home. Competitive salary plus an annual bonus (eligible after completing probation). Private healthcare and life insurance provided upon successful completion of probation. Participation in the company pension scheme. Exciting company activities including monthly lunches, corporate gatherings and many other activities A chance to advance professionally inside one of the world's largest iGaming organisations
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Compétences linguistiques
- English
Avis aux utilisateurs
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