Data Analyst Intern

We are looking for a Data Analyst Intern _w_ho is curious, analytical, and eager to learn how data is used to support business decisions. This internship is designed for someone who wants hands-on exposure to real datasets, reporting, and basic analysis while being mentored by experienced team members.

You will support the data team in collecting, cleaning, analyzing, and visualizing data to help teams understand performance, trends, and opportunities.

The Data Analytics team serves as the lifeblood of GoPay, continuously supplying data and insights that enable the business to function, innovate, and evolve. Through close collaboration with business and product teams, the team delivers impactful data products such as automated dashboards, reports, alerts, simulations, and foundational customer segmentations that support growth, digital inclusion, and risk and fraud initiatives. Acting as a strategic partner and internal consultant, the team ensures stakeholders have timely, actionable insights for decision-making while driving automation to reduce manual data requests and improve efficiency. With strong technical and business capabilities, the BI team focuses on building scalable workflows and data solutions, including initiatives aimed at helping the company achieve its north star metrics.

* Assist in collecting, cleaning, and validating data from multiple sources

* Support the creation of dashboards, reports, and simple data visualizations

* Analyze operational trends, patterns, and performance metrics to generate meaningful insights

* Partner with stakeholders to define data requirements and answer key business questions

* Deliver fast, accurate ad-hoc analyses to support day-to-day team decision-making

* Maintain thorough data documentation while adhering strictly to governance and best practices

* Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or equivalent.

* Basic understanding in data analysis concepts and key business/product metrics.

* Proficiency in SQL, advanced Excel/Google Sheets (formulas, pivot tables), and working exposure to Python or R.

* Hands-on experience with data visualization tools such as Tableau, Power BI, Looker, or similar platforms.

* High analytical acumen with strong attention to detail and accuracy when handling large datasets.

* Excellent communication skills with a proactive, curious mindset and a willingness to ask questions.