Andisiwe Jafta

Advanced Analytics & Technical Specifications Design

• Designed and translated complex technical requirements into scalable data solutions for a 200+ user education platform
• Built executive dashboards with AWS and Apache Airflow, automating data pipelines and improving
  operational tracking by 25%
• Integrated data from multiple platforms, ensuring quality, consistency, and governance across diverse sources
• Wrote and optimized advanced SQL queries for large-scale data extraction, transformation, and reporting
• Collaborated with cross-functional teams to deliver actionable insights aligned with business objectives
• Created systematic documentation frameworks establishing best practices for data management and reporting

Performance Analytics & Strategic Insights

• Designed and interpreted technical specifications for student performance analytics, translating business requirements into actionable solutions
• Engineered SQL databases with validation processes and optimized query performance for large datasets
• Collected, cleaned, and integrated multi-source data, ensuring integrity and consistency
• Developed statistical analyses, predictive models, and executive reports for strategic decision-making
• Implemented robust data governance and quality assurance protocols

Dashboard Development & Strategic Reporting

• Designed dynamic Power BI dashboards representing complex financial metrics, loan portfolios, and risk indicators
• Wrote and optimized SQL queries for extraction, analysis, and reporting to support operational decisions
• Translated business requirements into technical specifications and integrated data from multiple lending systems
• Developed automated reporting solutions, improving operational efficiency by 40%
• Collaborated with risk management teams, delivering actionable insights for portfolio optimization and strategic planning.

Process Optimization & Quality Assurance

• Managed student records database containing 25,000+ entries, implementing validation processes that reduced data entry errors from 8% to 2.4%
• Developed Excel-based quality control systems processing 500+ daily student applications, ensuring 99.7% accuracy in academic records
• Created standardized data entry procedures and training documentation, improving team productivity by 20% across 8-person data entry team
• Collaborated with IT department to integrate 3 separate student information systems, eliminating duplicate records and improving data accessibility
• Generated weekly data quality reports identifying inconsistencies and recommending process improvements to senior management
• Trained 12 new team members on data validation protocols and system procedures, reducing onboarding time by 30%