Data Analyst

Role Overview

The Data Analyst will perform deep dives into transactional data to optimize payment performance and improve systematically acceptance rates. The role will focus on generating automatic merchant reporting & merchant monitoring based on large datasets and supporting internal teams in making business decisions driven by data-backed insights.

What You Will Do

Perform deep-dive analysis of transactional data, systematically identify opportunities to improve payment acceptance rates, develop and maintain automated merchant reporting and monitoring, and translate complex data into actionable insights.

Why It Might Be a Fit

The ideal candidate will have strong analytical capabilities, experience in the payments industry, and hands-on experience in Excel, AI-driven analysis, statistical modelling using Python or R, and solid SQL skills.

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field, or equivalent proven professional experience
• 2+ years of experience in a data analytics role within the payments, fintech, or financial services sector
• Some experience with BI Tools with AI components, Python or R for statistical analysis and modelling, automatic report creation
• Advanced proficiency in Excel
• SQL skills for data extraction, transformation, and analysis
• Understanding of payment flows (authorization, settlement, chargebacks, recurring payments, etc.) and a foundational technical understanding of the payments ecosystem
• Strong analytical thinking and problem-solving skills

Benefits

• Opportunity to work in a dynamic team on cross-functional projects
• Exposure to innovative optimization initiatives within the payments segment
• Cross-functional collaboration with diverse teams across the emerchantpay organization
• A fast-paced, dynamic role offering the opportunity to drive meaningful impact through data-driven decision-making
• Hybrid model of work

Tagged as: Data Analysis