Data Analyst (eCommerce & Marketing)

Job Title: Part-time Data Analyst

Type of Contract: Part-time; Remote

Schedule: US Time zone

Industry: Beauty/E-commerce

About the Role

We’re looking for a part-time Data Analyst to help our eCommerce team manage, visualize, and analyze performance data across multiple channels. This person will play a key role in maintaining and improving our financial and operational reporting — connecting marketing performance, creator activity, and sales results into clear, actionable insights.

Key Responsibilities

• Financial Data & P&L: Maintain and update an existing operational P&L model, ensuring timely and accurate reporting on performance metrics.
• Sales & Contribution Margin Reporting: Build and maintain dashboards (e.g., in Google Data Studio or similar) for daily sales and contribution margin tracking across Amazon, TikTok Shop, and Shopify.
• Creator & Marketplace Data Management: Compile, clean, and analyze data from TikTok Shop and creator groups, filling reporting gaps that can’t be handled directly through marketplace systems.
• Marketing & Spend Tracking: Support daily spend planning and tracking across creators, ad spend, and marketing budgets to ensure alignment with business goals (EBITDA, CM, etc.).
• Reporting Automation: Create or refine templates, dashboards, and data pipelines to simplify recurring reporting tasks and improve visibility for the team.

Requirements

Preferred Qualifications

• 2+ years of experience as a Data Analyst (preferably in eCommerce, marketing, or digital consumer brands).
• Proficiency with Google Sheets/Excel, SQL, and data visualization tools (Google Data Studio, Looker Studio, Tableau, etc.).
• Experience working with data from Shopify, Amazon Seller Central, and TikTok Shop.
• Strong analytical and problem-solving skills, with the ability to turn raw data into clear insights and visuals.
• Comfortable working independently and managing multiple priorities in a fast-paced environment.

Bonus Points

• Experience modeling or automating financial data (e.g., contribution margin, EBITDA tracking).
• Background in marketing analytics, especially around creator performance and paid media efficiency.