About the job
About Easyship:
Easyship is a pioneering multi-carrier shipping software designed to simplify global eCommerce, making it accessible for businesses of all sizes. Since our inception in 2014, we have been dedicated to demystifying logistics by eliminating the complexities and hidden costs associated with international shipping. Trusted by over 100,000 brands worldwide, our platform serves as a unified 'mission control' for global commerce, providing access to over 550 courier services across more than 200 destinations.
We are a globally recognized team, honored by Forbes 30 Under 30 and named one of TechInAsia’s Best Startups. With offices in London, New York, Hong Kong, and more, we are rapidly expanding. At Easyship, we embrace transparency and take pride in building the infrastructure that fuels modern commerce. If you are eager to tackle intricate challenges at scale, we invite you to join our dynamic team.
About the Role:
As a Senior Data Analyst, you will become an integral part of our agile data team, where you will excel at addressing ambiguous business challenges and clarifying complex issues. Your role will extend beyond mere reporting; you will enhance the organization’s analytical capabilities by interpreting intricate datasets, deriving insights, and transforming them into actionable recommendations for our business teams.
In collaboration with key stakeholders, you will uncover the narratives behind the numbers, guiding data-driven decisions through effective storytelling. You will also explore AI-driven techniques and modern data tools to improve workflows, extract deeper insights, and propose innovative solutions previously thought impossible.
Additional Information:
This full-time role is based in our Bengaluru office (MG Road) and operates on UK collaboration hours (11:00 AM–8:00 PM IST) to ensure smooth cross-regional collaboration.
Key Responsibilities:
- Dashboard/Reporting Strategy & Ownership:
- Design and implement new dashboards (e.g., KPI, operational metrics) utilizing BI tools.
- Diagnose and enhance existing dashboards to maintain accuracy and relevance.
- Refine dashboards to deliver not just data but also context and guidance.
- Analytics & Insights:
- Move beyond basic reporting to analyze performance trends, identify root causes, and present actionable recommendations.
- Data Accuracy & Quality Control:
- Regularly audit dashboards and data sources to ensure quality and accuracy.
