Intern - Data Analyst, Operations

TLDR

Support data analysis and reporting for Supply Chain, Imports, and Non-Lending Business functions, converting raw data into insights to enhance decision-making.

Role Overview

We are looking for a Tech-savvy Intern with a strong analytical mindset to support data analysis, reporting, and dashboard creation across Supply Chain, Imports, and Non-Lending Business functions. The intern will work closely with business and operations teams to convert raw data into meaningful insights that support decision-making.

 

Key Responsibilities:

  • Collect, clean, and organize data from multiple sources related to Supply Chain, Imports, and Non-Lending operations

  • Perform data analysis to identify trends, gaps, and performance metrics

  • Develop and maintain dashboards and reports using Power BI, Excel and Google Sheets

  • Create MIS, daily/weekly/monthly reports for business stakeholders

  • Track key KPIs such as inventory movement, vendor performance, turnaround times, and operational efficiency

  • Support automation and process improvement initiatives using spreadsheets and BI tools

  • Collaborate with cross-functional teams to understand reporting requirements and deliver insights

  • Ensure data accuracy, consistency, and documentation of reports and dashboards

Required Qualifications

  • Educational background in Engineering, Computer Science, IT, Data Analytics, or related field
  • Knowledge of Excel, Power BI, Google Sheets
  • Understanding of data analysis and reporting concepts 
  • Ability to interpret data and present insights in a clear and structured manner

Drip Capital is a fintech company transforming global trade finance for small and medium-sized enterprises (SMEs) by providing seamless access to capital. We empower SMEs in emerging markets to scale internationally by simplifying the often complex processes of trade financing and sourcing. Our innovative solutions leverage technology to eliminate barriers, making cross-border trade accessible and efficient.

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