Data Analyst / Business Intelligence Analyst (Ecom)

About the Client

Our client is an independent, female-owned beauty brand built on the belief that beauty can be a force for good. They create high-performance, vegan, cruelty-free cosmetics, with all products free from parabens and sulfates.

Beyond product quality, the brand is deeply committed to purpose. Every purchase contributes to a giving program that supports women in need, reinforcing a mission that extends beyond commerce.

Culturally, the company values collaboration, cross-functional partnership, and wellness. Team members are encouraged to bring their ideas forward, work with integrity, and contribute in an environment that balances high performance with genuine care for people and impact.

About the Role

We are looking for a Data Analyst to support data-driven decision-making across growth marketing, eCommerce, and operations. This is a highly cross-functional role that blends data analytics, business intelligence, and strategic problem-solving, with a strong focus on marketing performance and customer insights.

In this role, you will work closely with Marketing (CRM, Search, Paid Media), E-commerce, and Operations teams to build dashboards, analyze performance, improve data pipelines, and support forecasting and ad-hoc analytical needs. Your work will help ensure that teams have accurate, timely, and actionable insights to drive growth and operational efficiency.

What You Will Be Doing:

• Apply creative problem-solving skills across various business domains, including marketing & demand planning, to address unique challenges
• Leverage customer data analysis to refine and enhance marketing strategies for both e-commerce and brand marketing
• Develop dashboards that blend data visualizations and tabular information, delivering real-time insights accessible to all departments
• Daily / weekly / monthly KPI reporting for Marketing, Operations and Ecom
• QA: Conduct quality assurance to ensure the accuracy of final reports and dashboards
• Generate insights from marketing ad performance to improve our paid ad efficiency
• Evaluate and improve current business processes related to data management by identifying opportunities for automation and streamlining
• Translate data into easy-to-digest insights for non-analytical stakeholders
• Fulfill ad hoc data requests and perform data queries as required