Collect, clean, and analyze data from social platforms, e-commerce, and content performance sources to support business and product decisions.
Build and maintain dashboards and reports tracking engagement, conversion, and social commerce KPIs using [tools - e.g., SQL, Excel, Tableau, Power BI].
Partner with cross-functional teams (e.g., marketing, content, product, growth) to answer data-driven questions about audience behavior and purchase funnels.
Identify trends, patterns, and anomalies in content and shopping data, and communicate findings clearly.
Analyze creator/influencer and campaign performance to inform content and commerce strategy
Requirements
Currently pursuing a Bachelor's degree in Statistics, Computer Science, Mathematics, Business, Economics, or a related field.
Proficient in SQL and Excel, with working knowledge of at least one data visualization tool (Tableau, Power BI, Looker, or Google Data Studio).
Demonstrated ability to work with large datasets and translate findings into clear, actionable insights.
Strong communication skills, with the ability to present analytical findings to non-technical stakeholders.
Detail-oriented and analytical, with a genuine interest in data and the ability to thrive in a fast-paced environment; experience with Python/R, statistical methods, or prior data analysis projects is a plus
