Spreetail
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Data Analyst

Spreetail
  • Remote
  • Anywhere
  • Full-time
Apply

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:

  • Please submit your resumes in English.

  • 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.

This is a remote position and requires candidates to have an available work-from-home setup.

Desktop/Laptop system requirements:

  • 4th generation or higher, at least Intel i3 or equivalent processor;

  • at least 4GB RAM;

  • Windows 10 and above or MAC OSX operating system

  • You are required to provide your own dual monitors

  • A strong and stable internet connection (A DSL, cable or fiber wired internet service with 10 Mbps plan or higher for primary connection)

  • PC Headset

  • A high-definition (HD) external or integrated webcam with at least 720p resolution.

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