Nonceba Mtshaulana

Data professional with experience spanning data engineering, risk analytics, business intelligence, and telecommunications product management within Absa's Corporate & Investment Banking and ZTE Corporation South Africa. Strong capability in building and optimising data pipelines using Scala, Spark, SQL, and Hive, with a focus on improving data quality, governance, and reporting reliability. Skilled in transforming complex datasets into actionable insights through exploratory analysis, predictive modelling, and dashboard development using Power BI and QlikView.

Proven ability to collaborate across technical and business teams to support risk, finance, and telecom product decision-making. Recognised for strong analytical thinking, technical versatility, and delivering data-driven solutions that improve operational efficiency and business performance.

MKT RAN Product Manager - ZTE Corporation South Africa - Sandton

(2026-03)

Manage RAN (Radio Access Network) product marketing activities within the telecommunications sector.

• Manage RAN (Radio Access Network) product marketing activities within the telecommunications sector, supporting product positioning, adoption, and performance tracking.
• Collaborate with technical, sales, and engineering teams to align telecom product capabilities with customer requirements and business objectives.
• Conduct telecommunications market and competitor analysis to support product strategy, pricing, and go-to-market planning.
• Support solution presentations, proposals, and stakeholder engagements to drive product awareness and commercial uptake.
• Monitor product performance metrics and provide insights to improve optimisation and future telecom product enhancements.

Junior Analyst: Data Modelling - Absa Group Corporate & Investment Banking (CIB) - Sandton

(2025-10 - 2025-12)

Optimised entity-relationship frameworks and engineered ETL pipelines for financial and risk data modelling.

• Optimised entity-relationship frameworks in LUM to support financial and risk data modelling.
• Engineered ETL pipelines using Scala, Spark, and SQL for credit-risk and compliance reporting.
• Designed and enhanced QlikView dashboards to improve risk visibility and management reporting.
• Collaborated with Data Rails and RTFM BI teams to strengthen data pipelines and reporting efficiency.
• Improved Project Genus through enhanced data quality, governance controls, and metadata structuring.
• Conducted exploratory data analysis, model validation, and supported audit documentation processes.

Data Science Learnership - Absa Group Corporate & Investment Banking (CIB) - Sandton

(2024-09 - 2025-09)

• Applied data science and BI techniques to improve risk analysis and financial reporting accuracy.
• Developed predictive models to support data-driven decision-making in risk and finance.
• Cleaned, transformed, and analysed large datasets for actionable insights.
• Optimised data pipelines for reliability and consistency across systems.
• Built dashboards using Power BI and QlikView to enhance reporting capabilities.
• Contributed to Project Genus and Financial Index Model using machine learning methods.
• Strengthened technical expertise in Scala, Spark, Hive, SQL, and analytics tools.

Master's of Applied Data Science - Data Science - University of Johannesburg (2026-02 - 2027-11)

Certificate in Data Science - Data Science - Explore AI – ALX Africa Mastercard Foundation (2023-09 - 2024-08)

Bachelor of Business Administration Honours - Business Administration - STADIO Higher Education (2021-02 - 2023-11)

Bachelor of Commerce in Management Degree, Specializing in Cost & Management Accounting - Commerce - Management Accounting - Lyceum Correspondence College (2016-02 - 2019-11)