• 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 •
• Python • SQL • Google Sheets • Excel • Snowflake • Amazon Athena • Google BigQuery •
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