Senior Data Analyst

M3 Human Capital Management (Pty) Ltd; Stellenbosch; On-site; ZAR 700,000 - 1,000,000; Full time

Job summary

Pay@, based in Stellenbosch, seeks a Senior Data Analyst to enable data-driven decision-making, improve data structures, and support business reporting across the organisation.

The role requires a proactive, self-directed mindset, strong analytical ability, and attention to detail to work closely with technical teams and business stakeholders in a fast-paced fintech environment.

Qualifications

• Degree in a quantitative field (Information Systems, Computer Science, Engineering, Mathematics, Statistics or Finance).
• 8–10 years’ experience in a similar data analysis role.
• 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.

Responsibilities

• Analyse and maintain an understanding of the SQL Server data environment, including data structures and flows.
• 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.

Skills

SQL

Excel reporting

Data analysis

Communication

Education

Degree in a quantitative field

Tools

Power BI

Job description

Please note that M3 is hiring on behalf of another company.

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

• Analyse and maintain an understanding of the SQL Server data environment, including data structures and flows.
• 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.

Qualifications

• 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.
• 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.

Advantageous

• Experience with data modelling or database optimisation.
• Exposure to Power BI or similar tools.
• Familiarity with Agile / Scrum delivery practices.
• Experience in fintech, payments or financial services.