Business Intelligence Analyst

Location

Los Angeles, CA

Job Overview

Bamboo Digital Inc., operating as Boosterize in Los Angeles, is seeking a Business Intelligence Analyst. The role involves analyzing market and performance data, building intelligence systems, and providing data-driven insights aimed at enhancing e-commerce marketing, pricing, and campaign effectiveness.

Key Responsibilities

• Use analytical techniques to assess livestream, seller, and campaign metrics covering traffic, engagement, conversion rates, and customer retention.
• Evaluate large datasets related to performance and pricing to detect trends, uncover growth impediments, and devise strategies for optimizing campaigns and pricing models.
• Plan and implement structured tests such as A/B experiments to refine product pricing, promotions, and campaign outcomes.
• Create and maintain intelligence tools including databases, reporting frameworks, and dashboards to facilitate data gathering and strategic decision-making.
• Conduct segmentation and cohort analyses to aid customer and seller lifecycle management, boosting retention and engagement.
• Collect and interpret competitive market and industry intelligence to understand trends, assess strategies, and support business planning initiatives.
• Develop automated data workflows and tools using programming languages for extraction, integration, and live tracking across various platforms.
• Convert analytical outcomes into practical recommendations, collaborating with cross-functional teams to implement marketing initiatives and improve business operations.

Qualifications

Applicants must have a Master’s degree or equivalent foreign qualification in Statistics, Applied Analytics, Mathematics, Economics, or a related discipline, combined with at least two years of experience in data analytics and business intelligence.

Proven expertise through work experience or academic study in the following areas is essential:

• Proficient use of Microsoft Excel, including advanced functions such as data modeling, pivot tables, and statistical analysis.
• Strong skills in data analysis and the creation of performance measurement metrics.
• Experience with business intelligence techniques, data visualization, and building dashboards.
• Competency in programming and querying for analytics using SQL and Python or R.
• Knowledge of experimental design principles and methods to optimize performance.
• Understanding of data management, inventory analysis, and operational reporting processes.

Application Instructions

Candidates should submit their resumes via email or by postal mail to the address provided by the company.