As a marketing data analyst at Yassir, working in the Data and AI team, you will have the opportunity to make significant contributions to Yassir's marketing strategies, targeting efforts, and customer engagement initiatives. You will leverage advanced analytics to optimize marketing campaigns, understand audience behavior, and enhance the overall marketing performance, ultimately driving growth and success across Yassir's services in 45 cities across 7 countries (Algeria, Tunisia, Morocco, Senegal, South Africa, and France). Responsibilities:
Collaborate with marketing teams to analyze marketing performance metrics, including attribution, audience targeting effectiveness, campaign ROI, and user engagement metrics.
Utilize data analysis skills, along with a deep understanding of marketing principles, to identify opportunities for improving marketing strategies and tactics.
Work cross-functionally with Product, Engineering, Research, and other teams to integrate marketing data into overall business strategy and product development processes.
Serve as a data ambassador, promoting a data-driven marketing culture within the organization.
Influence marketing strategy and execution by providing data-driven insights and recommendations to key stakeholders.
Partner with Engineering to ensure the collection of relevant data for informed decision-making and optimization of marketing efforts.
Develop and implement hypotheses for optimizing marketing performance, employing rigorous analytical approaches and methodologies.
Communicate insights and recommendations effectively through data-driven storytelling, influencing stakeholders to make data-informed decisions.
Minimum qualifications
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. A minimum experience of 5 years in analytics in an app marketing environment, including a track record of leveraging attribution tools and analytics to define marketing strategies and of defining tracking plans for marketing campaigns. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)