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.

Data Analyst

Key skills