Head of Growth
Yassir
Total years of experience :10 years, 4 Months
● Led the growth strategy for last-mile delivery services, overseeing the development and implementation of new features to optimize efficiency and customer satisfaction.
● Collaborated with product development teams to identify market trends and customer needs, guiding product roadmap decisions.
● Conducted market research and competitor analysis to identify opportunities for growth and differentiation in the last-mile delivery sector.
● Implemented marketing strategies to increase customer acquisition and retention, resulting in a 30 % increase in user base.
● Established partnerships with key stakeholders in the logistics and transportation industry to expand delivery networks and improve service coverage.
● Developed pricing strategies and promotional campaigns to drive revenue growth and increase market share in targeted regions.
● Monitored key performance indicators (KPIs) and conducted regular performance reviews to assess the effectiveness of growth initiatives and make data-driven adjustments as needed.
● Mentored and coached team members to foster a culture of innovation and continuous improvement within the growth operations department.
● Manage and analyze new catering and food delivery features in multiple countries.
Developed targeting model based on consumption behaviors and attributes, resulting in a 20% increase in revenue.
● Analyzed and modeled a long-term pricing model to increase customer lifetime by 15%.
Conducted cohort analysis which identified the opportunity to reduce retention.
● Collaborated with cross-functional teams to define key performance indicators (KPIs) and develop data-driven strategies to achieve business objectives.
● Designed and implemented A/B testing frameworks to evaluate the impact of product and feature enhancements on customer engagement and conversion rates.
● Utilized natural language processing (NLP) techniques to analyze customer feedback and sentiment data, informing product development and marketing strategies.
● Presented findings and recommendations to senior leadership and stakeholders, translating complex data insights into actionable business insights.
● Mentored junior data analysts and provided technical guidance on data modeling, statistical analysis, and machine learning methodologies.
Project:
- Fraud Detection:
● Implemented fraud detection system, leading to a 25% reduction in false positive cases.
- Analyzed customer spending behavior, including mapping the location of spenders to identify fraudulent transactions.
Recommendation System:
- Produced a recommendation system that increased consumer spending by 20% and reduced waiting time by 10%.
● Collaborated closely with the finance department to identify key business metrics and develop data-driven insights to support financial decision-making processes.
● Conducted comprehensive analysis of financial data, including revenue, expenses, and profitability metrics, to identify trends, anomalies, and areas for improvement.
● Developed and maintained financial dashboards and reports using Power BI and Tableau, providing stakeholders with real-time visibility into financial performance and KPIs.
● Implemented advanced data quality checks and validation processes to ensure the accuracy and integrity of financial data, mitigating the risk of errors and discrepancies.
● Conducted pre-evaluation and post-evaluation of financial actions and offers, analyzing their impact on revenue, profitability, and customer satisfaction.
● Acted as a liaison between the finance department and other departments, translating financial requirements into technical specifications and ensuring alignment with organizational goals.
● Led the implementation of a comprehensive customer segmentation system, leveraging demographic, behavioral, and transactional data to categorize customers into distinct segments based on their value, needs, and preferences.
● Conducted in-depth analysis of customer data to identify opportunities for personalized marketing initiatives, targeted promotions, and retention campaigns, aimed at maximizing customer lifetime value and reducing churn.
● Collaborated with cross-functional teams to develop and execute pre-evaluation and post-evaluation of CVM actions and offers, assessing their impact on key performance metrics (Acquisition Rate Increase By 8%, Retention Rate Decrease By 5%, Incremental Revenue 8 %)
● Conducted baseline analysis and comprehensive segmentation studies to support the development and approval of CVM strategies and initiatives.
● Developed functional and technical documentation related to CVM actions, including business requirements, use cases, process flows, and system specifications, to guide implementation and ensure consistency and clarity across teams.
● Analyzed functionalities of sales and purchasing systems.
● Developed and implemented testing plans.
● Implementation of a testing plan;
● Documented developed features and updated old documentation.