Data Analyst (Re-Advertisement) at Public Investment Corporation

Requirements:

• Bachelors’ Degree in Information Technology, Management Information Systems,Computer Science, Computer Engineering or similar.
• Minimum of 6 years’ experience in data analytics, data engineering or analytics role, with at least 4 years’ experience in a financial services institution.
• Understanding of asset management and investment data domains, including securities, financial instruments, indices and related market and benchmark data. 
• Strong understanding of logical and physical data modelling concepts, principles and practices including implementation in relational and cloud-based data platforms (e.g., Azure Synapse, Databricks).
• Demonstrated experience using data analysis and transformation tools such as T‑SQL and
• Python and working within a modern cloud-based analytics ecosystem leveraging platforms such as Microsoft Fabric (including Dataflows / Data Factory, Lakehouse) and Azure analytics services.

Duties:

• Conduct data profiling, validation, cleansing, and transformation to ensure data integrity and quality across the analytics lifecycle.
• Apply logical and physical data modelling principles to support analytics, reporting, and reusable data assets within relational and cloud-based platforms.
• Design, develop and maintain high-quality dashboards and reports through Power BI within
• Microsoft Fabric, ensuring accuracy, clarity and alignment to business objectives.
• Identify and apply appropriate advanced analytics, automation and AI‑enabled capabilities to enhance data products, reporting efficiency and insight generation.
• Provide technical guidance, review work outputs and support the development of junior data analysts to ensure consistent quality, adherence to standards and effective delivery of data analytics.
• Engage with business stakeholders to gather, analyse, and document reporting and analytics requirements.
• Lead the support and ongoing management of data feeds and market data services (e.g., JSE,
• Bloomberg, Iress, LSEG, MSCI, etc.) ensuring data availability and effective integration into PIC environment.
• Provide guidance in the adoption and effective implementation of analytics, reporting and data platform technologies, tools and standards, ensuring solutions are fit‑for‑purpose, scalable, and aligned to enterprise architecture and governance principles.
• Apply data quality assurance practices across analytics solutions and support continuous improvement initiatives.
• Produce and maintain high-quality technical documentation for data solutions including data source-to-target mappings, logical and physical data models, data dictionaries and transformation rules, report and semantic model specifications.
• Support data governance initiatives through collaboration with Data Owners, Stewards, and Governance structures.
• Contribute to delivery planning and prioritisation of analytics initiatives.

Closing Date: 24 April 2026