Yamkela Mxaka

I've been responsible for analyzing data and developing ongoing KPI reports to highlight failure trends. Some of my key accomplishments include:

• Leading the development and implementation of a predictive maintenance solution using machine learning algorithms to predict equipment failures, resulting in a 25% reduction in downtime
• Creating and maintaining reports and dashboards to track key performance indicators (KPIs) such as mean time between failures (MTBF) and mean time to repair (MTTR)
• Designing and implementing ETL processes, SQL queries, and stored procedures to extract and analyze data from various sources
• Leading projects to improve data quality and integrity, including data cleansing and validation initiatives
• Developing and implementing machine rebuild forecasting models using Python to predict equipment rebuild requirements, resulting in improved maintenance planning and reduced costs
• Assisted in data management and governance initiatives, providing support for data quality, security, and compliance with organizational policies and procedures, aligning with DAMA frameworks such as:
• Data Governance: Assisting in the establishment and maintenance of data governance policies, procedures, and standards
• Data Quality: Supporting data quality initiatives, including data validation and cleansing
• Data Security: Assisting in the implementation of data security measures to protect sensitive data from unauthorized access
• Data Architecture: Providing input on data architecture design to support business intelligence and analytics initiatives
• Utilized data analytical tools such as:
• Power BI: Developed and maintained reports and dashboards to track key performance indicators (KPIs)
• Excel: Analyzed and manipulated data to identify trends and opportunities for growth
• SQL: Queried and analyzed data from various sources to inform business decisions
• Python: Developed and implemented machine learning models to predict equipment failures
• JIRA: Tracked and managed project issues and requirements
• Confluence: Created and maintained project documentation and knowledge bases
• SAP: Managed and analyzed data from SAP systems to inform business decisions
• Salesforce: Analyzed and reported on sales and customer data to inform business decisions.
• AspenTech: Analyzed and reported on process data to inform business decisions
• AVEVA: Managed and analyzed data from AVEVA systems to inform business decisions
• AWS: Utilized AWS services such as Amazon Redshift & Amazon QuickSight to manage and analyze data
• Snowflake: Managed and analyzed data lakes to inform business decisions.

In this role, I've worked closely with stakeholders to identify business needs and provide data-driven insights to support project decisions. I've also presented findings and recommendations to senior management and external customers.

As a Business Analyst in the Payments Section at Kazang, a leading fintech company, I analyzed data and provided ongoing reports for internal and external stakeholders. Some of my key accomplishments include:

• Analyzing data on payment transactions, customer behavior, and usage patterns to identify trends and opportunities for growth
• Creating and maintaining reports and dashboards to track key performance indicators (KPIs) such as payment processing times, transaction volumes, and customer acquisition and retention
• Identifying, analyzing, and interpreting trends or patterns in complex data sets to inform business decisions and drive growth in the payments sector
• Collaborating with cross-functional teams to develop and implement new payment products and services, including mobile payments and digital wallets
• Championed a data-driven culture within the organization by promoting the use of analytics tools and methodologies across departments.
• Standardized best practices in report generation across departments to ensure consistency in presentation formats as well as analysis methodologies employed.
• Participated actively in stakeholder meetings, presenting data-driven insights and recommendations to support business growth initiatives.
• Utilized data analytical tools such as:
• Power BI: Developed and maintained reports and dashboards to track key performance indicators (KPIs)
• Excel: Analyzed and manipulated data to identify trends and opportunities for growth
• SQL: Queried and analyzed data from various sources to inform business decisions
• Python: Developed and implemented data models to predict customer behavior
• JIRA: Tracked and managed project issues and requirements
• Confluence: Created and maintained project documentation and knowledge bases
• SAP: Managed and analyzed data from SAP systems to inform business decisions
• Salesforce: Analyzed and reported on sales and customer data to inform business decisions.
• AWS Lake Formation: Managed and analyzed data lakes to inform business decisions.

In this role, I worked closely with senior management to prioritize business and information needs, and provided data-driven insights to support project decisions. I also worked with stakeholders to identify and resolve issues, and provided technical support to ensure successful project delivery.

I started as an intern at Computacenter, where I gained hands-on experience in business systems analysis and technical support. During my internship, I worked on various projects, including:

• Assisting in the development of business requirements and technical specifications for new system implementations
• Participating in testing and quality assurance activities to ensure successful project delivery
• Providing technical support to end-users and stakeholders

After completing my internship, I was offered a full-time position as a Business Systems Analyst, where I:

• Created key artefacts to accurately capture problem statements and support technical teams
• Reviewed existing IT processes to identify areas of improvements and enhancements
• Participated in testing, issue resolution, and implementation check-out process to ensure successful project delivery
• Utilized data analytical tools such as:
• JIRA: Tracked and managed project issues and requirements
• Confluence: Created and maintained project documentation and knowledge bases
• Excel: Analyzed and manipulated data to identify trends and opportunities for growth
• SQL: Queried and analyzed data from various sources to inform business decisions
• Power BI: Developed and maintained reports and dashboards to track key performance indicators (KPIs)
• SAP: Managed and analyzed data from SAP systems to inform business decisions
• Salesforce: Analyzed and reported on sales and customer data to inform business decisions
• AWS: Utilized AWS services

In this role, I worked closely with stakeholders to identify business needs and prioritize projects, and provided data-driven insights to support project decisions.

As a Support Analyst at Computacenter, I was responsible for troubleshooting and fixing issues raised by business and development teams. Some of my key accomplishments include:

• Troubleshooting and fixing issues related to production and development environments
• Supporting development teams with technical setup and configuration of new system implementations
• Implementing access requests and ensuring due process was followed

In this role, I worked closely with stakeholders to identify and resolve issues, and provided technical support to ensure successful project delivery.