Data Analyst

emerchantpay Ltd; Cape Town; On-site; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

emerchantpay Ltd. is seeking a Data Analyst to perform deep-dive analyses on transactional data and optimise payment performance. The role focuses on improving acceptance rates and generating automated merchant reporting from large data sets.

Ideal candidates will have hands-on Excel experience, AI-driven analysis, statistical modelling in Python or R, and solid SQL skills. AWS QuickSight familiarity is a significant plus, with a hybrid work model offered.

Qualifications

• 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 in a data analytics role within payments/fintech/financial services
• Proficiency in Excel and Python or R for analysis and modelling
• SQL skills for data extraction and analysis
• Understanding of payment flows and ecosystem fundamentals
• Strong analytical thinking and problem solving

Responsibilities

• Perform deep-dive analysis of transactional data to identify trends, issues, and optimization opportunities
• Systematically identify opportunities to improve payment acceptance rates
• Develop and maintain automated merchant reporting and monitoring based on large datasets
• Translate complex data into actionable, data-backed insights to support internal business decisions
• Create and utilize AWS QuickSight agents for automated and recurring reporting
• Identify patterns, performance drivers, anomalies, and improvement opportunities with statistical analysis tools
• Collaborate with internal teams and provide analytical support for data-driven decision-making

Skills

Excel

AI-driven analysis

Python or R

SQL

Payments domain knowledge

Analytical thinking

Data visualization

Education

Bachelor’s or Master’s degree in Data Science/Statistics/Math/CS/Economics or related field

Tools

AWS QuickSight

Job description

emerchantpay is a leading global payment service provider and acquirer for online, mobile, in-store and over the phone payments. Our global payments solution is available through a simple integration, offering a diverse range of features, including global acquiring, global and local payment methods, advanced fraud management and performance optimisation. We empower businesses to design seamless and engaging payment experiences for their consumers.

We are looking for a Data Analyst with strong analytical capabilities and experience in the payments industry. The ideal candidate will have hands-on experience in Excel, AI-driven analysis, statistical modelling using Python or R, and solid SQL skills. Being familiar with AWS QuickSight is a significant plus.

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

Responsibilities

• Perform deep-dive analysis of transactional data to identify trends, issues, and optimization opportunities;
• Systematically identify opportunities to improve payment acceptance rates;
• Develop and maintain automated merchant reporting and monitoring based on large datasets;
• Translate complex data into actionable, data-backed insights to support internal business decisions;
• Create and and utilize AWS QuickSight Agents for automated and recurring reporting;
• Identify patterns, performance drivers, anomalies, and improvement opportunities with statistical analysis tool;
• Collaborate with internal teams and provide analytical support for data-driven decision-making.

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 is required;
• 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.

Personal data of the applicants will be processed in strict confidentiality by emerchantpay ltd. UIC 175117520 solely for the purposes of selection and recruitment and will not be transferred to other data controllers unless required by law. Applicants provide their personal data on a voluntary basis and will have the right to access and correct their personal data within a reasonable time upon filing a written request.

emerchantpay is an equal opportunity employer. We appreciate people with different backgrounds and mindsets, and we honor diversity and inclusion.