Senior Data Analyst Temps plein

Notre client :

Our client is a global technology group operating multiple performance-driven marketing platforms. Their products rely on advanced data analysis and experimentation to continuously optimize large-scale systems, improve traffic quality, and maximize return on investment. The team focuses on building data-informed strategies to enhance decision-making across product and machine learning domains.

Vos tâches :

• Investigate system performance and campaign behavior to uncover inefficiencies and growth opportunities
• Develop and maintain meaningful metrics to evaluate pricing, traffic allocation, and overall system health
• Support experimentation processes by preparing data, validating results, and ensuring consistency in test conditions
• Analyze A/B tests and translate outcomes into clear business and product insights
• Explore datasets to detect anomalies, data inconsistencies, and hidden patterns
• Contribute to building datasets and signals that can be used for further modeling and optimization
• Collaborate with cross-functional teams (Data Science, Machine Learning, Product) to align analytical findings with business goals
• Provide actionable recommendations to improve targeting, budget allocation, and system efficiency

Expérience et compétences requises :

• 5+ years of experience in a data-focused role (Data Analyst or similar)
• Mandatory hands-on experience in the AdTech industry
• Degree in a quantitative field such as Computer Science, Mathematics, Statistics, or Economics
• Strong knowledge of statistics, including hypothesis testing and experimental design
• Proven experience with A/B testing and performance analysis in production environments
• Ability to work with large-scale datasets and identify performance bottlenecks and optimization opportunities
• Strong analytical thinking with the ability to break down complex system behavior into actionable insights
• Experience presenting data-driven findings to both technical and non-technical stakeholders
• Ability to operate in ambiguous environments and independently drive analysis

Ce serait un plus :

• Familiarity with auction-based systems, bidding strategies, or pricing optimization
• Exposure to fraud detection, traffic quality analysis, or anomaly detection
• Experience building dashboards or internal analytical tools

Conditions de travail

Semaine de travail de 5 jours, journée de travail de 8 heures ;

Travail à distance.