Data Analyst

About Drip Capital

We are a US-based fintech company revolutionizing global trade for SMEs. At Drip Capital, we’re redefining the future of trade finance and facilitation, empowering small and medium-sized enterprises (SMEs) to scale internationally with ease.

With the global SME trade market exceeding $5 trillion, our mission is to provide businesses in emerging markets with seamless access to capital—eliminating red tape and outdated processes. By leveraging cutting-edge technology, we make trade finance fast, efficient, and hassle-free. Beyond financing, we simplify trade and sourcing, helping SMEs navigate global markets effortlessly.

Headquartered in Palo Alto, California, with offices in India, Drip Capital is strategically positioned to meet the evolving needs of SMEs in emerging markets.

Backed by top investors—including Accel, Peak XV, Wing VC, Sequoia India, Y Combinator, GMO, SMBC Japan, Barclays, and IFC—Drip has facilitated over $7 billion in trade across 10,000+ buyers and sellers. As we continue to grow, we remain committed to transforming global trade for SMEs worldwide.

Role Overview

We are seeking a highly analytical and detail-oriented individual to join our team as a Data Analytics professional. As a Data Analyst, you will be responsible for identifying, measuring, and analyzing potential risks associated with our organization's operations, products, and services

Key Responsibilities:

• Conduct advanced data analysis using statistical techniques to analyze large datasets and uncover patterns, trends, and insights.
• Create and maintain dashboards, reports, and metrics to track key performance indicators (KPIs) and provide insights to business stakeholders.
• Interpret complex analytical findings and present them in a clear and understandable manner to non-technical stakeholders through presentations, reports, and other communication channels.
• Collaborate with cross-functional teams, including engineering, marketing and Risk teams to define project requirements, establish priorities, and deliver insights and recommendations.
• Ensure data quality, integrity, and security by adhering to data governance best practices, data privacy regulations, and company policies.
• Stay up-to-date with the latest trends, techniques, and tools in analytics and continuously improve skills and knowledge through training and professional development opportunities.
• Support ad-hoc analytics requests and contribute to continuous improvement initiatives within the analytics team.
  
  
  

Requirements:

• MUST HAVE: At least 1-2 years of experience in analytics or data-driven roles, ideally within a corporate setting such as financial institutions or a data consulting environment.
• Strong proficiency in data analysis, statistical modeling, and business intelligence tools such as Python,SQL, Tableau, Power BI, or similar tools.
• Excellent problem-solving skills with the ability to analyze complex data, identify patterns, and draw actionable insights.
• Strong communication skills, both verbal and written, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced environment, managing multiple projects and priorities simultaneously.
• Knowledge of data governance best practices, data privacy regulations, and industry standards.
• Proven ability to meet deadlines, deliver high-quality work, and achieve results in a dynamic and evolving business environment.
• Strong attention to detail, accuracy, and quality in work output.
• Ability to adapt to changing requirements and work in a continuously evolving field of analytics and data science