
1 - 10 employees
🛍️ eCommerce
💰 $1.5M Seed Round on 2023-02
Market Research • eCommerce • Data Analytics
Cube Asia is a leader in e-commerce market data and insights for Southeast Asia and beyond. The company provides accurate and granular market insights backed by millions of data points collected weekly, focusing on platforms like Shopee, TikTok Shop, Lazada, and Tokopedia. Cube Asia employs advanced statistical and machine learning models to achieve best-in-class data accuracy and granularity, enabling consumer brands and investors to understand online retail markets thoroughly. They offer market intelligence services that help brands and retailers optimize product listings, track category size and share, and respond swiftly to emerging trends. The company also has a community aspect, engaging online shoppers and sellers to contribute data that enhances their insights and understanding of the e-commerce landscape. Cube Asia is dedicated to offering custom, data-driven research and solutions tailored to the e-commerce sector.
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1 - 10 employees
🛍️ eCommerce
💰 $1.5M Seed Round on 2023-02
Market Research • eCommerce • Data Analytics
Cube Asia is a leader in e-commerce market data and insights for Southeast Asia and beyond. The company provides accurate and granular market insights backed by millions of data points collected weekly, focusing on platforms like Shopee, TikTok Shop, Lazada, and Tokopedia. Cube Asia employs advanced statistical and machine learning models to achieve best-in-class data accuracy and granularity, enabling consumer brands and investors to understand online retail markets thoroughly. They offer market intelligence services that help brands and retailers optimize product listings, track category size and share, and respond swiftly to emerging trends. The company also has a community aspect, engaging online shoppers and sellers to contribute data that enhances their insights and understanding of the e-commerce landscape. Cube Asia is dedicated to offering custom, data-driven research and solutions tailored to the e-commerce sector.
• Collaborate with cross-functional teams to gather and understand data and business requirements • Transform and clean data using Python (SQL is a plus) • Perform exploratory data analysis to identify trends, patterns, and anomalies • Assist in developing and implementing data models and algorithms • Analyze and interpret complex datasets to surface key metrics and statistical insights reports to communicate findings effectively
• Strong analytical and problem-solving skills with a basic understanding of statistics and data interpretation • Proficiency in Python, Google Sheets, and Excel is essential; SQL knowledge is a plus • Experience with data warehouse platforms such as Snowflake, Amazon Athena, or Google BigQuery is a plus • Enthusiastic self-starter with a strong desire to learn and grow in the data field • Comfortable working in a fast-paced environment and adapting quickly to change • Passionate about e-commerce, with strong communication and collaboration skills • A Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics, etc.) is preferred but not required.
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