Our client, a leading payment aggregaor and payment solutions provider, has an exciting opportunity for a Senior Data Analyst in their growing Finance team based at their Head Office 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.
  • 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
  • Familiarity with Agile / Scrum delivery practices.
  • Experience in fintech, payments or financial services.

General:

  • We are committed to fair and inclusive hiring. All suitably qualified applicants are welcome to apply.
  • Preference may be given in line with our client’s Employment Equity plan and applicable legislation.
  • Applicants must have the legal right to work in South Africa at the time of application.
  • Only shortlisted candidates will be contacted. If you do not hear from us within 30 days, please consider your application unsuccessful.
  • Please include your current remuneration (CTC), salary expectation, and notice period (optional but helpful for screening).
  • By applying, you consent to the processing of your personal information for recruitment purposes in accordance with POPIA.

Desired Skills:

  • Agile
  • Data Analysis
  • Data Architecture
  • Data Modeling
  • Microsoft Excel
  • Power BI
  • Python

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