Mr D - Insights Manager at takealot.com

Key responsibilities / accountabilities: 

• Data analysis and reporting:
• Collect and analyze customer data from various sources, including App events, transactional data, customer surveys & reviews.
• Identify trends and patterns in customer behavior and preferences.
• Segment the customer base to create targeted marketing campaigns and personalized experiences.
• Utilize data analytics tools and software (Google Big Query, Looker, Excel, Braze, Firebase) to extract actionable insights.
• Create and present regular reports (and dashboards) to senior management, highlighting key insights and recommendations.
• Collaborate with cross-functional teams (BI & Analytics, Merchandising, Marketing, Product) to ensure alignment with customer insights.
• Develop and maintain performance marketing benchmarks to assess the effectiveness of campaigns and strategies.
• Identify opportunities & strategies focused on: 
• high-value customer growth & retention
• Reactivation of dormant customers
• Activation of unconverted users
• Market Research:
• Conduct market research to understand industry trends, competitor activities, and customer preferences.
• Monitor market conditions and provide recommendations for adapting to changes in the competitive landscape.
• Customer Insights:
• Utilize customer feedback, surveys, and behavioral data to gain insights into customer needs and preferences.
• Collaborate with customer support and marketing teams to improve the customer experience.

Qualifications and experience: 

• Bachelor's Degree or Advanced Diploma and 5+ years technical experience in a relevant field.
• Experience using BI reporting tools (e.g. Looker, QlikView, Tableau, Microsoft BI, etc.)
• Experience with Google Cloud Platform, Braze & Firebase (or equivalent platforms) would be beneficial.
• Proven experience in data analysis, preferably with a focus on customers.
• SQL experience will be beneficial.
• Familiarity with performance metrics, KPIs, and digital marketing is advantageous.
• High proficiency in working with large data sets and business models
• Retail or e-commerce industry experience beneficial