Employer: Pay@ Pay@, a leading payment aggregator and provider of secure payment solutions, is looking for a Senior Data Analyst to join their growing team based in Stellenbosch. This role focuses on enabling data-driven decision-making, improving data structures, and supporting business reporting across the organisation. The ideal candidate is a proactive, self-directed individual with strong analytical ability, excellent attention to detail, and the ability to work both independently and collaboratively in a fast-paced environment. Responsibilities include: • Analyse and maintain an understanding of the SQL Server data environment, including data structures and flows. • Develop and maintain data documentation, including data dictionaries. • Translate business reporting requirements into data solutions. • Write and optimise SQL queries for data extraction and analysis. • Build and maintain Excel-based reports and dashboards. • Perform ad hoc analysis to support business decision-making. • Identify and recommend improvements to data structures and performance. • Support testing, validation, and data quality processes. • Assist business users with data and reporting queries. • All other tasks related to the role. Minimum requirements: • Degree in a relevant quantitative field (Information Systems, Computer Science, Engineering, Mathematics, Statistics or Finance). • 8-10 years’ experience in a similar data analysis role. • Strong SQL skills. • Experience documenting data architectures, data models, or data dictionaries. • Demonstrated ability to build and maintain Excel-based reports and dashboards. • Strong communication skills in English with the ability to work effectively with both technical teams and non-technical business stakeholders. • Own reliable transport. Advantageous: • Experience with data modelling or database optimisation. • Exposure to Power BI or similar tools. • Python experience. • Familiarity with Agile / Scrum delivery practices. • Experience in fintech, payments or financial services. Please apply online at www.m3online.co.za before 09:00 on 15 April 2026. For general enquiries, contact our team at M3 Human Capital Management on XXX-XXXX. *Please note that only shortlisted candidates are contacted. If you don’t hear from us within two weeks of the closing date, please assume that your application was unsuccessful.*