Carry1st is Africa’s leading publisher of mobile games and digital content. Operating at the intersection of games, publishing, and fintech, we scale awesome content in frontier markets by solving hard problems. Across our publishing and Pay1st business lines, we are partnered with top global game companies like Riot Games, Activision, and Stillfront. We are backed by top investors like: a16z, Bitkraft, Google, Konvoy, Riot Games, Sony and Nas.
As a Marketing Data Analyst you will generate insights into our players and our acquisition campaigns, leading to strategic recommendations and operational optimisations that drive cost efficient acquisition of high-valued customers.
You will...
- Insights & Optimisation: Utilise advanced analytics to identify trends, patterns, and opportunities, translating these into strategic recommendations and/or operational optimisation
- Business Needs to Analytical Solutions: Collaborate with cross-functional teams to translate business questions & hypotheses into structured analysis, defining key metrics to track success.
- Reporting: Develop, operationalise, and maintain dashboards & automated reports - to visualise key performance indicators for senior management and to aid operational decisioning for marketing teams
- Experimentation: Design and evaluate A/B tests to validate hypotheses, using deep dives and segmentations to further guide the UA roadmap.
- Data Management: Ensure data accuracy and integrity, establishing best practices where there is no single source of truth.
What makes you a great candidate?
- Strong understanding of the mobile advertising space - networks, bidding systems, & algorithms - and fluent with the key funnel metrics - CTR, CVR, CPI, ARPU, Retention, LTV
- Fluent in SQL. Proficiency in Tableau and Python pluses.
- Strong analytical skills backed by statistical fundamentals
- Strong problem solving acumen backed by the ability to tackle ambiguity
- Excellent communication and collaboration skills to work cross-functionally with Marketing, Product, and Data teams
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