Manager - Campaign Analytics & Science

We are seeking a passionate data analyst/scientist to join our MakroPRO e-commerce team. You will be responsible for analyzing large datasets, building predictive models, and extracting actionable insights to optimize our e-commerce platform and marketing campaigns.

• Develop and implement key performance indicators (KPIs) to measure campaign effectiveness, in-app conversion rates, and product performance.
• Analyze customer behavior patterns to identify opportunities for product recommendations and cross-selling.
• Build and maintain data dashboards and reports using Power BI to visualize and communicate insights to stakeholders.
• Collaborate with marketing and commercial teams to optimize campaigns and drive business growth.
• Analyze in-app user behavior to optimize user experience and conversion rates and identify opportunities for product placement and cross-selling within the app.
• Develop and implement predictive models for sales forecasting, campaign performance, customer churn, and customer lifetime value.
• Build and deploy machine learning models for recommendation systems, personalized product recommendations, and customer segmentation.
• Conduct A/B testing and experimentation to optimize website and in-app experiences.
• Collect, clean, and validate large datasets from various data sources for e-commerce platform and marketing channels.

Requirements

• Master’s degree or PhD in Statistics, Computer Science, Mathematics, or a related field.
• Strong programming proficiency in Python or R.
• Expertise in machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis).
• Experience with data mining and statistical modeling tools.
• Proficiency in data visualization tools (e.g., Power BI, Tableau).
• Strong problem-solving and critical thinking skills.
• Excellent communication and presentation skills.

Preferred Qualifications:

• Experience in the e-commerce industry.
• Knowledge of SQL and database management systems.
• Experience with cloud-based data platforms (e.g., AWS, GCP, Azure).
• Understanding of A/B testing methodologies.
• Experience with mobile app analytics tools like Mixpanel.