Business Data Analyst

Full Time 2 days ago Paarl, South Africa

Employment Information

Position: Business Data Analyst
Location: Paarl, Western Cape (Hybrid)
Salary: Negotiable
About the Role
A well-established multi-entity organisation is seeking an experienced Business Data Analyst to transform raw data into actionable insights that drive strategic and operational decisions across the business.
This is a hands-on, self-directed role for someone who takes full ownership of the data lifecycle, from ingestion and cleansing through to modelling, visualisation and stakeholder reporting. You will be primarily office-based in Paarl with hybrid flexibility.
This position reports to the Head of Data / BI Manager.
Key Responsibilities

  • Design, build and maintain interactive dashboards and automated reports using Power BI, Tableau or equivalent BI tools
  • Perform ad hoc analyses across multiple concurrent project streams
  • Translate complex data findings into clear narratives for non-technical stakeholders at all levels
  • Extract, transform and load (ETL) data from diverse structured and unstructured sources, including SQL databases, APIs, flat files and cloud storage
  • Write optimised SQL queries, stored procedures and scripts to support reporting and analytical pipelines
  • Maintain and improve data models within data warehouses or lakehouses
  • Contribute to data governance frameworks, data dictionaries and lineage documentation
  • Identify inefficiencies in existing data processes and implement improvements independently
  • Mentor junior analysts where applicable
Minimum Requirements
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems or equivalent
  • 3 to 6 years of demonstrated experience in a data analyst or business intelligence role
  • Advanced SQL (complex joins, window functions, CTEs, performance tuning)
  • Intermediate to Advanced Python or R
  • Power BI (DAX, Power Query) and/or Tableau
  • Experience with data warehousing and dimensional modelling
  • Exposure to ETL/pipeline tools such as Azure Data Factory, dbt, Airflow or similar
  • Ability to work independently and manage competing priorities without close supervision
  • Valid South African identity document or work authorisation
Highly Advantageous
  • Microsoft Azure, AWS or GCP experience
  • Exposure to Agile/Scrum methodologies
  • Microsoft Certified: Data Analyst Associate (PL-300) or equivalent certification
  • Background in professional services or technology sectors
  • Experience with POPIA compliance frameworks
Working Hours
Availability required to attend virtual meetings with international stakeholders during early morning overlap hours.

If you do not receive feedback within 4 weeks of application, please consider your application unsuccessful.
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