Business Intelligence Analyst (Full-time)

Bamboo Digital Inc. DBA Boosterize, located in Los Angeles, CA, seeks a Business Intelligence Analyst to analyze performance and market data, develop business intelligence systems, and deliver data-driven insights to optimize e-commerce marketing strategies, pricing, and campaign performance.

Responsibilities

• Apply analytical methods to evaluate livestream, seller, and campaign performance across conversion funnels, including traffic, engagement, conversion, and retention metrics.
• Analyze large-scale performance and pricing datasets to identify trends, diagnose growth bottlenecks, and develop data-driven strategies for campaign and pricing optimization.
• Design and conduct structured experiments, including A/B testing, to optimize product pricing, promotional strategies, and campaign performance.
• Develop and maintain business intelligence systems, including databases, reporting frameworks, and dashboards, to support data collection, analysis, and decision-making.
• Perform segmentation and cohort analysis to support customer and seller lifecycle management and improve retention and engagement.
• Gather and analyze competitive market and industry data to identify trends, evaluate strategies, and support business planning.
• Develop and implement automated data processes and tools using programming languages, including data extraction, integration, and real-time tracking across platforms.
• Translate analytical findings into actionable recommendations and collaborate with cross-functional teams to execute marketing strategies, improve operational efficiency, and support business growth.

Requirements

This position requires a Master’s degree or foreign equivalent in Statistics, Applied Analytics, Mathematics, Economics, or a related field plus 2 years of experience in data analytics and business intelligence.

• Microsoft Excel, including data modeling, pivot tables, and statistical functions.
• Data analysis and performance metrics development.
• Business intelligence, data visualization, and dashboard development.
• Programming and querying for data analysis, including SQL and Python or R.
• Experimental design and performance optimization.
• Data management, inventory analysis, and operational reporting.