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.