Spreetail propels brands to increase their ecommerce market share across the globe while improving their operational costs. Learn how we are building one of the fastest-growing ecommerce companies in history: www.spreetail.com. We are seeking a detail-oriented Data Analyst to drive data-driven decision-making and process optimization. This role will focus on developing analytics models, enhancing reporting tools, and ensuring seamless operations throughout the Amazon Prime activation process. You will collaborate cross-functionally with teams like Merchandising, FP&A, and Planning to align strategies, monitor performance using Excel, SQL, Power BI, and support continuous process improvements. If you thrive in a fast-paced environment, enjoy problem-solving through data, and have a passion for optimizing workflows, we’d love to hear from you! How you will achieve  success: 

Data & Tooling Optimization – Assist in developing analytics models and reporting tools to enhance insights, automate processes, and improve efficiency.

Amazon Prime Process Management – Oversee order auditing and tracking during Prime trial and live phases, ensuring smooth operations from brand launch to order delivery.

Operational & Performance Analytics – Monitor reporting performance using Power BI, address discrepancies, and provide variance analysis aligned with business goals.

Cross-Functional Collaboration – Partner with teams like Merchandising, Planning, and FP&A to align inventory, transportation, and market trends.

Continuous Improvement & Learning – Conduct deep dives to identify process enhancements, support training initiatives, and contribute to analytics best practices.

What experiences will help you in this role:

1-3 years of experience in business analytics.

Proficiency in Excel, experience with SQL or DAX, experience with data visualization tools (Power BI, Tableau). 

Basic knowledge of scripting languages (Python, R). 

Strong attention to detail and accuracy, strong quantitative and financial skills applied to Operations. 

Demonstrated analytical skill in prediction and optimization problems; effective time management, prioritization, and organizational skills; self-driven, collaborative, and capable of working cross-functionally to drive decision-making.