[Hiring] Data Analyst Internship @Jadelynn Brooke

Role Description

As a Data Analyst Intern, you will work closely with our analytics, marketing, and operations teams to gather, analyze, and present data-driven insights. You’ll help us understand customer behavior, product performance, and optimize internal processes. This internship is paid and intended as a learning opportunity with real impact.

• Collect, clean, and organize data from various sources: sales, website analytics, CRM
• Perform exploratory data analysis (EDA) to uncover patterns, trends, and anomalies
• Build dashboards and reports (Excel, Google Sheets, or BI tools) for marketing, product, and leadership teams
• Provide insights and recommendations to improve conversion rates, customer retention, and product strategy
• Assist with A/B test design, tracking, and result interpretation
• Monitor key metrics (KPIs), and alert teams when significant changes occur
• Support ad hoc data requests and analytics projects
• Document data definitions, methodology, and assumptions for reproducibility

Qualifications

• Currently enrolled in (or recently graduated from) a program in Data Science, Statistics, Mathematics, Computer Science, Economics, or similar
• Proficiency with Excel / Google Sheets; comfort with formulas, pivot tables
• Experience with data visualization tools (e.g. Tableau, Looker, Power BI) is a plus
• Great communication skills — able to translate data insights into actionable recommendations
• Detail-oriented, curious, and able to work independently in a remote environment
• Strong organizational skills and ability to manage multiple tasks

Requirements

• Duration: 3–6 months
• Compensation: $18‑$25 per hour

Benefits

• Real-world experience working with data in the e-commerce / fashion space
• Exposure to how data drives marketing, product, and operational decisions
• Mentorship from experienced analysts and cross-functional teams
• Portfolio-ready work: dashboards, reports, case studies
• Opportunity for further employment depending on performance