Business Data Analyst

SUMMARY:
Business Data Analyst | Paarl, Western Cape | Hybrid
Location: Paarl, Western Cape
Job Type: Permanent, Full-Time
Salary: Negotiable
Work Model: Hybrid

POSITION INFO:
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.