Overview
Work History
Education
Skills
Certification
Projects
Volunteer Experience
Timeline
Generic

Ziyanda Ndabisa

Los Angeles,USA

Overview

9
9
years of professional experience
1
1
Certification

Work History

Consultant

Deloitte
Johannesburg, South Africa
06.2017 - 12.2023
  • Formed part of the data analytics team as a meta data consultant to provide a taxonomy framework to improve data organisation and to ensure regulatory compliance
  • Developed and implemented a comprehensive Data Taxonomy for the insurance sector by gathering business data, functional and non-functional requirements from stakeholders, resulting in the creation of a business requirements specification, functional requirements specification, and a requirements roadmap that increased data management efficiency by 30%
  • Created standardized naming conventions and governance policies to improve reporting accuracy
  • Delivered a unified framework that enhanced data quality, accessibility, and compliance with governance standards
  • Improved the organization’s ability to track data lineage and manage sensitive information efficiently
  • Fostered better collaboration, reduced time spent on reporting, and provided a consistent, structured foundation for decision-making
  • Enabled teams to adopt clear standards for data organization, saving time and streamlining workflows
  • Created customized PoPIA business process maps and process flows to guide multiple organizations in aligning their processes with regulatory requirements, leading to a 20% improvement in compliance adherence and serving as a central repository used in workshops to promote a collaborative approach to PoPIA compliance
  • Conducted a Data Governance audit for a new digital bank, engaging with key stakeholders to produce governance documentation for each business unit and implementing controls to mitigate identified risks, reducing potential data governance risks by 50%
  • Designed and executed major data integrity processes and identified audit scope risks, enhancing the bank's data governance framework and reducing compliance-related issues by 35%
  • Supported a large-scale data migration by ensuring seamless extraction, transformation, and loading (ETL) of data from legacy systems to the new platform
  • Extracted, cleaned, and transformed large datasets to align with the new system’s requirements, improving data quality and consistency
  • Collaborated with cross-functional teams to define data mapping rules, ensuring accuracy during migration
  • Developed scripts and automation tools to streamline data transformation processes, reducing manual effort and errors
  • Provided documentation and reports on data trends, quality issues, and resolution strategies, enhancing decision-making for stakeholders
  • Supported the project management team in the end-to-end data migration project
  • Scheduled stakeholder meetings, tracked revenue to ensure the project remained within budget, and adhered to the agile migration plan
  • Managed ad hoc tasks to support the project’s progress
  • Led a data migration project using an agile approach by determining project objectives, collecting and documenting requirements, and driving activities to mitigate dependency risks, ensuring 100% of tasks were completed on time
  • Coordinated resource allocation to ensure the optimal assignment of team members to roles, resulting in a 20% increase in overall team productivity
  • Optimized project execution strategies by effectively managing the workflow across the team, leading to a 15% improvement in project delivery timelines
  • Monitored and adhered to budget constraints by tracking expenses, creating invoices, and managing write-offs achieving divisional financial targets with a 10% cost saving
  • Liaised with the product owner to oversee day-to-day operations, ensuring smooth execution of tasks and alignment with project goals, maintaining a 95% on-time task completion rate
  • Implemented expense management processes and client invoicing systems, contributing to streamlined financial operations and a 100% accuracy rate in client billing
  • Documenting and capturing the data lineage required to achieve Level 4 Risk Compliance at a Tier 1 bank
  • Delivered a comprehensive data lineage visualized in Excel, which strengthened the bank’s risk model through enhanced metadata and risk data aggregation
  • Improved the institution's ability to generate accurate and compliant business analysis reports, providing a robust framework for mitigating risk and addressing regulatory requirements
  • Conducted interviews with various stakeholders to gather insights into their requirements and challenges
  • Created clear and concise functional specification reports
  • Performed system testing and validation by using data samples from relevant sources, inputting them into the system, and analyzing the results
  • Developed reports using Power BI to visualize outcomes and insights
  • Extended the internal audit continuous controls monitoring framework to include ESG controls and key performance metrics, enabling automated tracking, insights, and exception handling
  • Collaborated with stakeholders across South Africa, Ghana, Peru, and Australia to design an ESG monitoring framework
  • Merged insights from stakeholders to develop an ESG-focused audit automation solution
  • Successfully modernized and enhanced Gold Fields' ESG auditing and controls monitoring capabilities
  • Was assigned as a Research analyst to develop a business case for a digital product designed to identify news articles containing potential organizational risks
  • Demonstrated strong research and communication skills by connecting with relevant stakeholders to gather key insights
  • As part of the digital team, I gathered data from various source systems by requesting and managing restricted access to databases
  • Using Power BI, I consolidated the information into a single view of the customer and created a visual report to capture the value chain comprehensively

Junior Consultant, Data Factory Graduate

Deloitte Risk Advisory
South Africa
06.2015 - 06.2017
  • Formed part of a team responsible for the development of an Analytical Simulation Engine to optimize and validate financial calculations, specifically recalculating monthly payment amounts against a client-provided amortization schedule
  • Gathered Client Requirements & Business Rules
  • Met with the client to understand the specific business rules that govern the amortization process
  • Collected data on loan terms, payment schedules, interest rates, and other relevant variables
  • Imported the client-provided amortization table and validated the data to ensure there were no discrepancies or missing values
  • Reviewed historical loan data to understand patterns and ensure compatibility with the new simulation model
  • Developed algorithms to calculate monthly payments based on the gathered business rules (e.g., principal, interest rate, loan tenure)
  • Successfully contributed to the design and development of a Dimensional Data Model as part of a Data Warehouse (DWH) Architecture for a credit portfolio
  • Collaborated with stakeholders to gather business rules and created a comprehensive data dictionary to define key data elements
  • Data profiling and remediation efforts achieved over 95% data accuracy, ensuring the reliability of inputs for the dimensional model
  • Developed a dashboard capable of visualizing key profiling metrics (e.g., data validity, error rates) in real time
  • As part of a key case study, I was introduced to Big Data analytics and gained hands-on experience with the Cloudera Stack to derive actionable insights and provide a comprehensive 360-degree business view
  • In one of my key projects, I was tasked with developing a credit model using a combination of internal data from a major bank and external data from a credit union
  • The model was evaluated against several performance metrics, including accuracy, precision, recall, and F1 score, with the target to achieve a 95% prediction accuracy
  • The automated resource planning process led to a 50% reduction in administrative effort and allowed the Data Analytics team to focus more on high-value tasks rather than manual scheduling and allocation

Education

National Diploma - Human Resources Management

Tshwane University of Technology
01.2010

High school or equivalent -

Umtata High School
01.2005

Skills

  • SQL
  • Tableau
  • QlikView
  • Power BI
  • UI Path
  • SAS Enterprise

Certification

  • Introduction to Business Analytics, Udemy, 11/01/24
  • Foundation of Cyber Security, Coursera, 12/01/24, 04/30/25, In Progress

Projects

Diversity, Equity, and Inclusion (DE&I) Initiatives, Led the planning and execution of Unconscious Bias training sessions. Impact Committee, Organized a Career Day at underprivileged schools. Women's Forum, Contributed to creating a supportive environment for women. Business Analytics Community of Practice, Created and engaged internal newsletter to enhance team awareness.

Volunteer Experience

OLICO Maths Education, Volunteer, 06/01/18, 06/30/19, Compiled exam papers for Grade 10-12 students., Participated in Career Days.

Timeline

Consultant

Deloitte
06.2017 - 12.2023

Junior Consultant, Data Factory Graduate

Deloitte Risk Advisory
06.2015 - 06.2017
  • Introduction to Business Analytics, Udemy, 11/01/24
  • Foundation of Cyber Security, Coursera, 12/01/24, 04/30/25, In Progress

National Diploma - Human Resources Management

Tshwane University of Technology

High school or equivalent -

Umtata High School
Ziyanda Ndabisa