Data Analyst Internship - Emtek Commerce
Summary
Build dashboards and analyze social, e-commerce, and content data to track KPIs and inform marketing and product decisions using SQL, Excel, and visualization tools.
- 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
Responsibilities
- 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